Referenced by ⇅
Year
autostats : Auto Stats (Version 0.4.0)
2021
bastah : Big Data Statistical Analysis for High-Dimensional Models (Version 1.0.7)
2016
CausalKinetiX : Learning Stable Structures in Kinetic Systems (Version 0.2.1)
2019
DriveML : Self-Drive Machine Learning Projects (Version 0.1.5)
2020
ensModelVis : Visualisations for Model Ensembles (Version 0.1.0)
2022
EstHer : Estimation of Heritability in High Dimensional Sparse Linear
Mixed Models using Variable Selection (Version 1.0)
2015
gren : Adaptive Group-Regularized Logistic Elastic Net Regression (Version 0.0.1)
2018
healthcareai : Tools for Healthcare Machine Learning (Version 2.5.1)
2017
HiCfeat : Multiple Logistic Regression for 3D Chromatin Domain Border
Analysis (Version 1.4)
2015
hit : Hierarchical Inference Testing (Version 0.4.0)
2015
hybridEnsemble : Build, Deploy and Evaluate Hybrid Ensembles (Version 1.7.9)
2013
IFAA : Robust Inference for Absolute Abundance in Microbiome Analysis (Version 1.1.2)
2020
LinearDetect : Change Point Detection in High-Dimensional Linear Regression
Models (Version 0.1.5)
2021
modelplotr : Plots to Evaluate the Business Performance of Predictive Models (Version 1.1.0)
2019
modeltime.ensemble : Ensemble Algorithms for Time Series Forecasting with Modeltime (Version 1.0.3)
2020
MWRidge : Two Stage Moving-Window Ridge Method for Prediction and
Estimation (Version 1.0.0)
2016
qut : Quantile Universal Threshold (Version 2.2)
2015
RAEN : Random Approximate Elastic Net (RAEN) Variable Selection Method (Version 0.2)
2021
RCPmod : Regions of Common Profiles Modelling with Mixtures-of-Experts (Version 2.192)
2013
SPOT : Sequential Parameter Optimization Toolbox (Version 2.11.14)
2010
treemisc : Data Sets and Functions to Accompany "Tree-Based Methods for
Statistical Learning in R" (Version 0.0.1)
2022
concrete : Continuous-Time Competing Risks Estimation using Targeted
Minimum Loss-Based Estimation (TMLE) (Version 1.0.5)
2023
prediction : Tidy, Type-Safe 'prediction()' Methods (Version 0.3.17)
2016
ggfortify : Data Visualization Tools for Statistical Analysis Results (Version 0.4.16)
2015
ggmix : Variable Selection in Linear Mixed Models for SNP Data (Version 0.0.2)
2020
mllrnrs : R6-Based ML Learners for 'mlexperiments' (Version 0.0.3)
2023
mlr : Machine Learning in R (Version 2.19.1)
2013
mlr3learners : Recommended Learners for 'mlr3' (Version 0.6.0)
2019
mlr3pipelines : Preprocessing Operators and Pipelines for 'mlr3' (Version 0.5.1)
2019
mlr3tuningspaces : Search Spaces for 'mlr3' (Version 0.5.0)
2021
mlr3viz : Visualizations for 'mlr3' (Version 0.8.0)
2020
AHM : Additive Heredity Model: Method for the Mixture-of-Mixtures Experiments (Version 1.0.1)
2019
ARGOS : Automatic Regression for Governing Equations (ARGOS) (Version 0.1.1)
2023
AnchorRegression : Perform AnchorRegression (Version 0.1.3)
2020
ArCo : Artificial Counterfactual Package (Version 0.3-1)
2017
BAGofT : A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT) (Version 1.0.0)
2019
BBSSL : Bayesian Bootstrap Spike-and-Slab LASSO (Version 0.1.0)
2021
BNrich : Pathway Enrichment Analysis Based on Bayesian Network (Version 0.1.1)
2020
BOSO : Bilevel Optimization Selector Operator (Version 1.0.4)
2021
BOSSreg : Best Orthogonalized Subset Selection (BOSS) (Version 0.2.0)
2019
BSPBSS : Bayesian Spatial Blind Source Separation (Version 1.0.5)
2022
BWGS : BreedWheat Genomic Selection Pipeline (Version 0.2.1)
2020
BeSS : Best Subset Selection in Linear, Logistic and CoxPH Models (Version 2.0.4)
2017
BioMark : Find Biomarkers in Two-Class Discrimination Problems (Version 0.4.5)
2011
BiodiversityR : Package for Community Ecology and Suitability Analysis (Version 2.16-1)
2007
BlockMissingData : Integrating Multi-Source Block-Wise Missing Data in Model Selection (Version 0.1.0)
2023
BrainCon : Inference the Partial Correlations Based on Time Series Data (Version 0.3.0)
2021
CARBayes : Spatial Generalised Linear Mixed Models for Areal Unit Data (Version 6.1.1)
2012
CBPS : Covariate Balancing Propensity Score (Version 0.23)
2012
CERFIT : Causal Effect Random Forest of Interaction Tress (Version 0.1.0)
2022
CICI : Causal Inference with Continuous (Multiple Time Point) Interventions (Version 0.9.1)
2023
CRE : Interpretable Discovery and Inference of Heterogeneous Treatment Effects (Version 0.2.5)
2022
CSCNet : Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty (Version 0.1.2)
2022
CausalMetaR : Causally Interpretable Meta-Analysis (Version 0.1.1)
2024
CenBAR : Broken Adaptive Ridge AFT Model with Censored Data (Version 0.1.1)
2020
ComICS : Computational Methods for Immune Cell-Type Subsets (Version 1.0.4)
2015
CompareCausalNetworks : Interface to Diverse Estimation Methods of Causal Networks (Version 0.2.6.2)
2015
Compositional : Compositional Data Analysis (Version 6.8)
2016
CondCopulas : Estimation and Inference for Conditional Copula Models (Version 0.1.3)
2022
ConformalSmallest : Efficient Tuning-Free Conformal Prediction (Version 1.0)
2021
ConnectednessApproach : Connectedness Approach (Version 1.0.1)
2022
Coxmos : Cox MultiBlock Survival (Version 1.0.2)
2024
DDL : Doubly Debiased Lasso (DDL) (Version 1.0.2)
2022
DEET : Differential Expression Enrichment Tool (Version 1.0.11)
2022
DLL : Decorrelated Local Linear Estimator (Version 1.0.0)
2022
DMRnet : Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data (Version 0.4.0)
2017
DMTL : Tools for Applying Distribution Mapping Based Transfer Learning (Version 0.1.2)
2021
DTRlearn2 : Statistical Learning Methods for Optimizing Dynamic Treatment Regimes (Version 1.1)
2019
DWLasso : Degree Weighted Lasso (Version 1.1)
2017
DebiasInfer : Efficient Inference on High-Dimensional Linear Model with Missing Outcomes (Version 0.2)
2023
DevTreatRules : Develop Treatment Rules with Observational Data (Version 1.1.0)
2019
DoubleML : Double Machine Learning in R (Version 1.0.0)
2020
EBglmnet : Empirical Bayesian Lasso and Elastic Net Methods for Generalized Linear Models (Version 6.0)
2014
EHR : Electronic Health Record (EHR) Data Processing and Analysis Tool (Version 0.4-11)
2017
EMJMCMC : Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox (Version 1.5.0)
2024
ENMeval : Automated Tuning and Evaluations of Ecological Niche Models (Version 2.0.4)
2014
ER : Effect + Residual Modelling (Version 1.1.1)
2020
EZtune : Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines (Version 3.1.1)
2018
EnsembleBase : Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling (Version 1.0.2)
2015
EnsemblePenReg : Extensible Classes and Methods for Penalized-Regression-Based Integration of Base Learners (Version 0.7)
2014
FADA : Variable Selection for Supervised Classification in High Dimension (Version 1.3.5)
2014
FGLMtrunc : Truncated Functional Generalized Linear Models (Version 0.1.0)
2022
FLAME : Interpretable Matching for Causal Inference (Version 2.1.1)
2018
FLORAL : Fit Log-Ratio Lasso Regression for Compositional Data (Version 0.2.0)
2023
FRESA.CAD : Feature Selection Algorithms for Computer Aided Diagnosis (Version 3.4.7)
2014
FeatureHashing : Creates a Model Matrix via Feature Hashing with a Formula Interface (Version 0.9.2)
2014
FindIt : Finding Heterogeneous Treatment Effects (Version 1.2.0)
2012
FunctanSNP : Functional Analysis (with Interactions) for Dense SNP Data (Version 0.1.0)
2022
GEInfo : Gene-Environment Interaction Analysis Incorporating Prior Information (Version 1.0)
2022
GMDH2 : Binary Classification via GMDH-Type Neural Network Algorithms (Version 1.8)
2018
GMSimpute : Generalized Mass Spectrum Missing Peaks Abundance Imputation (Version 0.0.1.0)
2019
GRSxE : Testing Gene-Environment Interactions Through Genetic Risk Scores (Version 1.0.1)
2022
GWASinlps : Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies (Version 2.2)
2017
GWLelast : Geographically Weighted Logistic Elastic Net Regression (Version 1.2.2)
2015
GWRLASSO : A Hybrid Model for Spatial Prediction Through Local Regression (Version 0.1.0)
2023
GenericML : Generic Machine Learning Inference (Version 0.2.2)
2021
GlarmaVarSel : Variable Selection in Sparse GLARMA Models (Version 1.0)
2021
Grace : Graph-Constrained Estimation and Hypothesis Tests (Version 0.5.3)
2015
HCTR : Higher Criticism Tuned Regression (Version 0.1.1)
2019
HDCI : High Dimensional Confidence Interval Based on Lasso and Bootstrap (Version 1.0-2)
2017
HIMA : High-Dimensional Mediation Analysis (Version 2.2.1)
2017
HMC : High Dimensional Mean Comparison with Projection and Cross-Fitting (Version 1.0)
2024
HSDiC : Homogeneity and Sparsity Detection Incorporating Prior Constraint Information (Version 0.1)
2018
HTLR : Bayesian Logistic Regression with Heavy-Tailed Priors (Version 0.4-4)
2019
HTRX : Haplotype Trend Regression with eXtra Flexibility (HTRX) (Version 1.2.4)
2022
ICBioMark : Data-Driven Design of Targeted Gene Panels for Estimating Immunotherapy Biomarkers (Version 0.1.4)
2021
IRCcheck : Irrepresentable Condition Check (Version 1.0.0)
2021
InvariantCausalPrediction : Invariant Causal Prediction (Version 0.8)
2014
IsingFit : Fitting Ising Models Using the ELasso Method (Version 0.4)
2014
KLexp : Kernel_lasso Expansion (Version 1.0.0)
2021
KnockoffHybrid : Hybrid Analysis of Population and Trio Data with Knockoff Statistics for FDR Control (Version 1.0.0)
2023
LDLcalc : Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)
2021
LEGIT : Latent Environmental & Genetic InTeraction (LEGIT) Model (Version 1.4.1)
2017
LKT : Logistic Knowledge Tracing (Version 1.6.0)
2021
LPRelevance : Relevance-Integrated Statistical Inference Engine (Version 3.3)
2019
LSAmitR : Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R' (Version 1.0-3)
2016
LUCIDus : LUCID with Multiple Omics Data (Version 3.0.1)
2018
LassoSIR : Sparsed Sliced Inverse Regression via Lasso (Version 0.1.1)
2017
Lavash : Lava Estimation for the Sum of Sparse and Dense Signals (Version 1.0)
2018
MESS : Miscellaneous Esoteric Statistical Scripts (Version 0.5.12)
2012
MFSIS : Moder-Free Sure Independent Screening Procedures (Version 0.2.0)
2021
MNS : Mixed Neighbourhood Selection (Version 1.0)
2015
MRFA : Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach (Version 0.6)
2017
MRFcov : Markov Random Fields with Additional Covariates (Version 1.0.39)
2018
MRZero : Diet Mendelian Randomization (Version 0.2.0)
2023
MSclassifR : Automated Classification of Mass Spectra (Version 0.3.3)
2022
MTE : Maximum Tangent Likelihood Estimation for Robust Linear Regression and Variable Selection (Version 1.2)
2017
MTPS : Multi-Task Prediction using Stacking Algorithms (Version 1.0.2)
2020
MachineShop : Machine Learning Models and Tools (Version 3.7.0)
2018
MatchIt : Nonparametric Preprocessing for Parametric Causal Inference (Version 4.5.5)
2005
MaximinInfer : Inference for Maximin Effects in High-Dimensional Settings (Version 2.0.0)
2021
MendelianRandomization : Mendelian Randomization Package (Version 0.10.0)
2016
MetGen : Stochastic Weather Generator (Version 0.5)
2020
MetabolicSurv : A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature (Version 1.1.2)
2019
MicrobiomeSurv : Biomarker Validation for Microbiome-Based Survival Classification and Prediction (Version 0.1.0)
2023
MissCP : Change Point Detection with Missing Values (Version 0.1.0)
2023
MultiGlarmaVarSel : Variable Selection in Sparse Multivariate GLARMA Models (Version 1.0)
2022
MultiVarSel : Variable Selection in a Multivariate Linear Model (Version 1.1.3)
2017
NADIA : NA Data Imputation Algorithms (Version 0.4.2)
2020
NBtsVarSel : Variable Selection in a Specific Regression Time Series of Counts (Version 1.0)
2023
NCutYX : Clustering of Omics Data of Multiple Types with a Multilayer Network Representation (Version 0.1.0)
2018
NonProbEst : Estimation in Nonprobability Sampling (Version 0.2.4)
2019
OHPL : Ordered Homogeneity Pursuit Lasso for Group Variable Selection (Version 1.4)
2017
OOS : Out-of-Sample Time Series Forecasting (Version 1.0.0)
2021
OpenSpecy : Analyze, Process, Identify, and Share Raman and (FT)IR Spectra (Version 1.0.8)
2021
PAS : Polygenic Analysis System (PAS) (Version 1.2.5)
2012
PCGII : Partial Correlation Graph with Information Incorporation (Version 1.1.2)
2024
PDN : Personalized Disease Network (Version 0.1.0)
2017
PMAPscore : Identify Prognosis-Related Pathways Altered by Somatic Mutation (Version 0.1.1)
2022
PPLasso : Prognostic Predictive Lasso for Biomarker Selection (Version 2.0)
2022
PRISM.forecast : Penalized Regression with Inferred Seasonality Module - Forecasting Unemployment Initial Claims using 'Google Trends' Data (Version 0.2.1)
2018
PRSPGx : Construct PGx PRS (Version 0.3.0)
2021
Patterns : Deciphering Biological Networks with Patterned Heterogeneous Measurements (Version 1.4)
2019
PheCAP : High-Throughput Phenotyping with EHR using a Common Automated Pipeline (Version 1.2.1)
2020
PheVis : Automatic Phenotyping of Electronic Health Record at Visit Resolution (Version 1.0.4)
2021
PhylogeneticEM : Automatic Shift Detection using a Phylogenetic EM (Version 1.7.0)
2017
ProSGPV : Penalized Regression with Second-Generation P-Values (Version 1.0.0)
2021
QTL.gCIMapping.GUI : QTL Genome-Wide Composite Interval Mapping with Graphical User Interface (Version 2.1.1)
2018
QTL.gCIMapping : QTL Genome-Wide Composite Interval Mapping (Version 3.4)
2018
Qval : The Q-Matrix Validation Methods Framework (Version 0.1.6)
2024
RISCA : Causal Inference and Prediction in Cohort-Based Analyses (Version 1.0.5)
2020
RNAseqNet : Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation (Version 0.1.5)
2017
ROCSI : Receiver Operating Characteristic Based Signature Identification (Version 0.1.0)
2022
RPtests : Goodness of Fit Tests for High-Dimensional Linear Regression Models (Version 0.1.5)
2016
RSDA : R to Symbolic Data Analysis (Version 3.2.1)
2013
RTextTools : Automatic Text Classification via Supervised Learning (Version 1.4.3)
2011
RaSEn : Random Subspace Ensemble Classification and Variable Screening (Version 3.0.0)
2020
Rforestry : Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability (Version 0.10.0)
2021
Ricrt : Randomization Inference of Clustered Randomized Trials (Version 0.1.0)
2023
RobMixReg : Robust Mixture Regression (Version 1.1.0)
2020
RobustIV : Robust Instrumental Variable Methods in Linear Models (Version 0.2.5)
2022
Robyn : Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science (Version 3.10.3)
2022
SAVER : Single-Cell RNA-Seq Gene Expression Recovery (Version 1.1.2)
2018
SBICgraph : Structural Bayesian Information Criterion for Graphical Models (Version 1.0.0)
2021
SEMgraph : Network Analysis and Causal Inference Through Structural Equation Modeling (Version 1.2.1)
2021
SIHR : Statistical Inference in High Dimensional Regression (Version 2.1.0)
2021
SILM : Simultaneous Inference for Linear Models (Version 1.0.0)
2019
SIMMS : Subnetwork Integration for Multi-Modal Signatures (Version 1.3.2)
2013
SIS : Sure Independence Screening (Version 0.8-8)
2009
SISIR : Select Intervals Suited for Functional Regression (Version 0.2.2)
2020
SLBDD : Statistical Learning for Big Dependent Data (Version 0.0.4)
2021
SLOPE : Sorted L1 Penalized Estimation (Version 0.5.0)
2015
SMLE : Joint Feature Screening via Sparse MLE (Version 2.1-1)
2020
SOIL : Sparsity Oriented Importance Learning (Version 1.1)
2016
SPSP : Selection by Partitioning the Solution Paths (Version 0.2.0)
2021
STGS : Genomic Selection using Single Trait (Version 0.1.0)
2019
STOPES : Selection Threshold Optimized Empirically via Splitting (Version 0.2)
2019
STPGA : Selection of Training Populations by Genetic Algorithm (Version 5.2.1)
2014
SelectBoost : A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets (Version 2.2.2)
2019
SentimentAnalysis : Dictionary-Based Sentiment Analysis (Version 1.3-5)
2017
Sieve : Nonparametric Estimation by the Method of Sieves (Version 2.1)
2022
SoftBart : Implements the SoftBart Algorithm (Version 1.0.1)
2022
SpTe2M : Nonparametric Modeling and Monitoring of Spatio-Temporal Data (Version 1.0.3)
2022
SplitKnockoff : Split Knockoffs for Structural Sparsity (Version 1.2)
2021
SplitReg : Split Regularized Regression (Version 1.0.2)
2019
StabilizedRegression : Stabilizing Regression and Variable Selection (Version 1.1)
2020
StratifiedMedicine : Stratified Medicine (Version 1.0.5)
2019
SuRF.vs : Subsampling Ranking Forward Selection (SuRF) (Version 1.1.0.1)
2022
SubgrpID : Patient Subgroup Identification for Clinical Drug Development (Version 0.12)
2017
SuperLearner : Super Learner Prediction (Version 2.0-29)
2011
SurvHiDim : High Dimensional Survival Data Analysis (Version 0.1.1)
2021
TANDEM : A Two-Stage Approach to Maximize Interpretability of Drug Response Models Based on Multiple Molecular Data Types (Version 1.0.3)
2016
TOSI : Two-Directional Simultaneous Inference for High-Dimensional Models (Version 0.3.0)
2023
TRexSelector : T-Rex Selector: High-Dimensional Variable Selection & FDR Control (Version 1.0.0)
2022
TSGSIS : Two Stage-Grouped Sure Independence Screening (Version 0.1)
2017
TULIP : A Toolbox for Linear Discriminant Analysis with Penalties (Version 1.0.2)
2020
TensorTest2D : Fitting Second-Order Tensor Data (Version 1.1.1)
2020
TextForecast : Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary (Version 0.1.3)
2019
TraceAssist : Nonparametric Trace Regression via Sign Series Representation (Version 0.1.0)
2021
UBayFS : A User-Guided Bayesian Framework for Ensemble Feature Selection (Version 1.0)
2023
VSOLassoBag : Variable Selection Oriented LASSO Bagging Algorithm (Version 0.99.1)
2022
WLogit : Variable Selection in High-Dimensional Logistic Regression Models using a Whitening Approach (Version 2.1)
2022
WeightedROC : Fast, Weighted ROC Curves (Version 2020.1.31)
2017
WpProj : Linear p-Wasserstein Projections (Version 0.2.1)
2024
ZVCV : Zero-Variance Control Variates (Version 2.1.2)
2019
adapt4pv : Adaptive Approaches for Signal Detection in Pharmacovigilance (Version 0.2-3)
2020
adaptMT : Adaptive P-Value Thresholding for Multiple Hypothesis Testing with Side Information (Version 1.0.0)
2018
afthd : Accelerated Failure Time for High Dimensional Data with MCMC (Version 1.1.0)
2021
aglm : Accurate Generalized Linear Model (Version 0.4.0)
2021
aloom : All Leave-One-Out Models (Version 0.1.1)
2023
alookr : Model Classifier for Binary Classification (Version 0.3.9)
2020
amp : Statistical Test for the Multivariate Point Null Hypotheses (Version 1.0.0)
2022
aorsf : Accelerated Oblique Random Forests (Version 0.1.3)
2022
argo : Accurate Estimation of Influenza Epidemics using Google Search Data (Version 3.0.2)
2019
armada : A Statistical Methodology to Select Covariates in High-Dimensional Data under Dependence (Version 0.1.0)
2019
arulesCBA : Classification Based on Association Rules (Version 1.2.6)
2016
bamlss : Bayesian Additive Models for Location, Scale, and Shape (and Beyond) (Version 1.2-3)
2017
bapred : Batch Effect Removal and Addon Normalization (in Phenotype Prediction using Gene Data) (Version 1.1)
2015
bbknnR : Perform Batch Balanced KNN in R (Version 1.1.1)
2022
bbl : Boltzmann Bayes Learner (Version 1.0.0)
2019
bcaboot : Bias Corrected Bootstrap Confidence Intervals (Version 0.2-3)
2018
bestglm : Best Subset GLM and Regression Utilities (Version 0.37.3)
2009
bgsmtr : Bayesian Group Sparse Multi-Task Regression (Version 0.7)
2016
biglasso : Extending Lasso Model Fitting to Big Data (Version 1.5.2)
2016
bigstatsr : Statistical Tools for Filebacked Big Matrices (Version 1.5.12)
2017
biospear : Biomarker Selection in Penalized Regression Models (Version 1.0.2)
2017
bolasso : Model Consistent Lasso Estimation Through the Bootstrap (Version 0.2.0)
2022
broom : Convert Statistical Objects into Tidy Tibbles (Version 1.0.5)
2014
c060 : Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models (Version 0.3-0)
2014
caretEnsemble : Ensembles of Caret Models (Version 2.0.3)
2015
casebase : Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression (Version 0.10.5)
2017
cases : Stratified Evaluation of Subgroup Classification Accuracy (Version 0.1.1)
2023
catdata : Categorical Data (Version 1.2.4)
2012
categoryEncodings : Category Variable Encodings (Version 1.4.3)
2020
causalweight : Estimation Methods for Causal Inference Based on Inverse Probability Weighting (Version 1.1.0)
2018
cbl : Causal Discovery under a Confounder Blanket (Version 0.1.3)
2022
censored : 'parsnip' Engines for Survival Models (Version 0.3.0)
2022
changepoints : A Collection of Change-Point Detection Methods (Version 1.1.0)
2021
ciccr : Causal Inference in Case-Control and Case-Population Studies (Version 0.3.0)
2020
clusterMI : Cluster Analysis with Missing Values by Multiple Imputation (Version 1.0.0)
2024
cmenet : Bi-Level Selection of Conditional Main Effects (Version 0.1.2)
2019
coca : Cluster-of-Clusters Analysis (Version 1.1.0)
2020
coda4microbiome : Compositional Data Analysis for Microbiome Studies (Version 0.2.3)
2022
coefplot : Plots Coefficients from Fitted Models (Version 1.2.8)
2011
comets : Covariance Measure Tests for Conditional Independence (Version 0.0-1)
2024
condvis2 : Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)
2019
conformalInference.multi : Conformal Inference Tools for Regression with Multivariate Response (Version 1.1.1)
2022
cornet : Elastic Net with Dichotomised Outcomes (Version 0.0.9)
2019
cosso : Fit Regularized Nonparametric Regression Models Using COSSO Penalty (Version 2.1-2)
2010
covdepGE : Covariate Dependent Graph Estimation (Version 1.0.1)
2022
cpfa : Classification with Parallel Factor Analysis (Version 1.1-3)
2022
cpi : Conditional Predictive Impact (Version 0.1.4)
2022
cpt : Classification Permutation Test (Version 1.0.2)
2017
creditmodel : Toolkit for Credit Modeling, Analysis and Visualization (Version 1.3.1)
2019
crossurr : Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers (Version 1.0.6)
2022
csmpv : Biomarker Confirmation, Selection, Modelling, Prediction, and Validation (Version 1.0.3)
2024
ctmle : Collaborative Targeted Maximum Likelihood Estimation (Version 0.1.2)
2017
cuda.ml : R Interface for the RAPIDS cuML Suite of Libraries (Version 0.3.2)
2021
customizedTraining : Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models (Version 1.2)
2016
cvwrapr : Tools for Cross Validation (Version 1.0)
2021
daltoolboxdp : Data Pre-Processing Extensions (Version 1.0.767)
2024
ddml : Double/Debiased Machine Learning (Version 0.2.0)
2023
dipw : Debiased Inverse Propensity Score Weighting (Version 0.1.0)
2020
distillML : Model Distillation and Interpretability Methods for Machine Learning Models (Version 0.1.0.13)
2022
dlbayes : Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection (Version 0.1.0)
2018
dmlalg : Double Machine Learning Algorithms (Version 1.0.2)
2021
dnr : Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family (Version 0.3.5)
2018
doc2concrete : Measuring Concreteness in Natural Language (Version 0.6.0)
2020
drape : Doubly Robust Average Partial Effects (Version 0.0.1)
2023
drcarlate : Improving Estimation Efficiency in CAR with Imperfect Compliance (Version 1.2.0)
2023
dtComb : Statistical Combination of Diagnostic Tests (Version 1.0.2)
2023
ePCR : Ensemble Penalized Cox Regression for Survival Prediction (Version 0.11.0)
2017
easyalluvial : Generate Alluvial Plots with a Single Line of Code (Version 0.3.2)
2018
eclust : Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data (Version 0.1.0)
2017
ecostats : Code and Data Accompanying the Eco-Stats Text (Warton 2022) (Version 1.1.11)
2020
ecpc : Flexible Co-Data Learning for High-Dimensional Prediction (Version 3.1.1)
2021
elasso : Enhanced Least Absolute Shrinkage and Selection Operator Regression Model (Version 1.1)
2015
emBayes : Robust Bayesian Variable Selection via Expectation-Maximization (Version 0.1.5)
2023
enetLTS : Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression (Version 1.1.0)
2018
ensr : Elastic Net SearcheR (Version 0.1.0)
2019
eshrink : Shrinkage for Effect Estimation (Version 0.1.2)
2017
evalITR : Evaluating Individualized Treatment Rules (Version 1.0.0)
2020
eventstream : Streaming Events and their Early Classification (Version 0.1.1)
2019
expandFunctions : Feature Matrix Builder (Version 0.1.0)
2016
factReg : Multi-Environment Genomic Prediction with Penalized Factorial Regression (Version 1.0.0)
2023
fairml : Fair Models in Machine Learning (Version 0.8)
2020
familiar : End-to-End Automated Machine Learning and Model Evaluation (Version 1.4.6)
2022
fastcpd : Fast Change Point Detection via Sequential Gradient Descent (Version 0.14.0)
2023
fdaSP : Sparse Functional Data Analysis Methods (Version 1.1.1)
2023
fdm2id : Data Mining and R Programming for Beginners (Version 0.9.9)
2019
finnts : Microsoft Finance Time Series Forecasting Framework (Version 0.4.0)
2022
flevr : Flexible, Ensemble-Based Variable Selection with Potentially Missing Data (Version 0.0.4)
2023
flexmix : Flexible Mixture Modeling (Version 2.3-19)
2003
flowml : A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)
2023
fmerPack : Tools of Heterogeneity Pursuit via Finite Mixture Effects Model (Version 0.0-1)
2021
forecastML : Time Series Forecasting with Machine Learning Methods (Version 0.9.0)
2019
fscaret : Automated Feature Selection from 'caret' (Version 0.9.4.4)
2013
fssemR : Fused Sparse Structural Equation Models to Jointly Infer Gene Regulatory Network (Version 0.1.8)
2019
fuser : Fused Lasso for High-Dimensional Regression over Groups (Version 1.0.1)
2017
gamlss.foreach : Parallel Computations for Distributional Regression (Version 1.1-6)
2021
gamlss.ggplots : Plotting Functions for Generalized Additive Model for Location Scale and Shape (Version 2.1-12)
2022
gamlss.lasso : Extra Lasso-Type Additive Terms for GAMLSS (Version 1.0-1)
2021
gamreg : Robust and Sparse Regression via Gamma-Divergence (Version 0.3)
2016
gapclosing : Estimate Gaps Under an Intervention (Version 1.0.2)
2021
gesso : Hierarchical GxE Interactions in a Regularized Regression Model (Version 1.0.2)
2021
glmnetSE : Add Nonparametric Bootstrap SE to 'glmnet' for Selected Coefficients (No Shrinkage) (Version 0.0.1)
2021
glmnetUtils : Utilities for 'Glmnet' (Version 1.1.9)
2017
glmnetcr : Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response (Version 1.0.6)
2012
glmnetr : Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models (Version 0.4-4)
2022
glmtrans : Transfer Learning under Regularized Generalized Linear Models (Version 2.0.0)
2021
glmvsd : Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models (Version 1.5)
2014
gofar : Generalized Co-Sparse Factor Regression (Version 0.1)
2022
goffda : Goodness-of-Fit Tests for Functional Data (Version 0.1.2)
2019
graphicalExtremes : Statistical Methodology for Graphical Extreme Value Models (Version 0.3.1)
2019
graphicalVAR : Graphical VAR for Experience Sampling Data (Version 0.3.4)
2015
hal9001 : The Scalable Highly Adaptive Lasso (Version 0.4.6)
2020
hbal : Hierarchically Regularized Entropy Balancing (Version 1.2.12)
2023
hdi : High-Dimensional Inference (Version 0.1-9)
2014
hdm : High-Dimensional Metrics (Version 0.3.2)
2016
hdme : High-Dimensional Regression with Measurement Error (Version 0.6.0)
2018
hdnom : Benchmarking and Visualization Toolkit for Penalized Cox Models (Version 6.0.3)
2015
heuristica : Heuristics Including Take the Best and Unit-Weight Linear (Version 1.0.3)
2016
iBART : Iterative Bayesian Additive Regression Trees Descriptor Selection Method (Version 1.0.0)
2023
idopNetwork : A Network Tool to Dissect Spatial Community Ecology (Version 0.1.2)
2022
iml : Interpretable Machine Learning (Version 0.11.2)
2018
imputeR : A General Multivariate Imputation Framework (Version 2.2)
2014
inet : Performing Inference on Networks with Regularization (Version 0.1.0)
2022
inters : Flexible Tools for Estimating Interactions (Version 0.2.0)
2022
intrinsicFRP : An R Package for Factor Model Asset Pricing (Version 2.1.0)
2023
ipflasso : Integrative Lasso with Penalty Factors (Version 1.1)
2015
islasso : The Induced Smoothed Lasso (Version 1.5.2)
2019
joinet : Multivariate Elastic Net Regression (Version 0.0.10)
2019
knockoff : The Knockoff Filter for Controlled Variable Selection (Version 0.3.6)
2014
kosel : Variable Selection by Revisited Knockoffs Procedures (Version 0.0.1)
2019
l1spectral : An L1-Version of the Spectral Clustering (Version 0.99.6)
2021
latentgraph : Graphical Models with Latent Variables (Version 1.1)
2020
lilikoi : Metabolomics Personalized Pathway Analysis Tool (Version 2.1.1)
2018
lime : Local Interpretable Model-Agnostic Explanations (Version 0.5.3)
2017
live : Local Interpretable (Model-Agnostic) Visual Explanations (Version 1.5.13)
2018
localModel : LIME-Based Explanations with Interpretable Inputs Based on Ceteris Paribus Profiles (Version 0.5)
2019
logicDT : Identifying Interactions Between Binary Predictors (Version 1.0.4)
2021
mase : Model-Assisted Survey Estimators (Version 0.1.5.2)
2018
maxnet : Fitting 'Maxent' Species Distribution Models with 'glmnet' (Version 0.1.4)
2016
mcb : Model Confidence Bounds (Version 0.1.15)
2020
mcboost : Multi-Calibration Boosting (Version 0.4.3)
2021
mcen : Multivariate Cluster Elastic Net (Version 1.2.1)
2018
mdpeer : Graph-Constrained Regression with Enhanced Regularization Parameters Selection (Version 1.0.1)
2016
medflex : Flexible Mediation Analysis Using Natural Effect Models (Version 0.6-10)
2014
metafuse : Fused Lasso Approach in Regression Coefficient Clustering (Version 2.0-1)
2015
mgm : Estimating Time-Varying k-Order Mixed Graphical Models (Version 1.2-14)
2015
mice : Multivariate Imputation by Chained Equations (Version 3.16.0)
2006
mikropml : User-Friendly R Package for Supervised Machine Learning Pipelines (Version 1.6.1)
2020
milr : Multiple-Instance Logistic Regression with LASSO Penalty (Version 0.3.1)
2016
mimi : Main Effects and Interactions in Mixed and Incomplete Data (Version 0.2.0)
2019
misspi : Missing Value Imputation in Parallel (Version 0.1.0)
2023
mlsurvlrnrs : R6-Based ML Survival Learners for 'mlexperiments' (Version 0.0.3)
2023
mmabig : Multiple Mediation Analysis for Big Data Sets (Version 3.2-0)
2018
modeltime.resample : Resampling Tools for Time Series Forecasting (Version 0.2.3)
2020
modeltime : The Tidymodels Extension for Time Series Modeling (Version 1.2.8)
2020
modnets : Modeling Moderated Networks (Version 0.9.0)
2021
mombf : Model Selection with Bayesian Methods and Information Criteria (Version 3.5.4)
2008
mpath : Regularized Linear Models (Version 0.4-2.25)
2014
mpae : Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods) (Version 0.1.2)
2024
mplot : Graphical Model Stability and Variable Selection Procedures (Version 1.0.6)
2015
msaenet : Multi-Step Adaptive Estimation Methods for Sparse Regressions (Version 3.1.1)
2016
mudfold : Multiple UniDimensional unFOLDing (Version 1.1.21)
2017
multid : Multivariate Difference Between Two Groups (Version 1.0.0)
2021
multiness : MULTIplex NEtworks with Shared Structure (Version 1.0.2)
2022
multivar : Penalized Estimation of Multiple-Subject Vector Autoregressive (multi-VAR) Models (Version 1.1.0)
2020
multivarious : Extensible Data Structures for Multivariate Analysis (Version 0.2.0)
2024
multiview : Cooperative Learning for Multi-View Analysis (Version 0.8)
2022
mvs : Methods for High-Dimensional Multi-View Learning (Version 1.0.2)
2023
naivereg : Nonparametric Additive Instrumental Variable Estimator and Related IV Methods (Version 1.0.5)
2018
natural : Estimating the Error Variance in a High-Dimensional Linear Model (Version 0.9.0)
2018
nbfar : Negative Binomial Factor Regression Models ('nbfar') (Version 0.1)
2022
nestedcv : Nested Cross-Validation with 'glmnet' and 'caret' (Version 0.7.8)
2022
nestedmodels : Tidy Modelling for Nested Data (Version 1.1.0)
2022
netcox : Structural Learning in Cox Models with Time-Dependent Covariates (Version 1.0.1)
2023
netgsa : Network-Based Gene Set Analysis (Version 4.0.5)
2014
nlpred : Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples (Version 1.0.1)
2019
nnGarrote : Non-Negative Garrote Estimation with Penalized Initial Estimators (Version 1.0.4)
2020
nnfor : Time Series Forecasting with Neural Networks (Version 0.9.9)
2017
nonet : Weighted Average Ensemble without Training Labels (Version 0.4.0)
2018
nproc : Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves (Version 2.1.5)
2016
nscancor : Non-Negative and Sparse CCA (Version 0.7.0-6)
2014
obliqueRSF : Oblique Random Forests for Right-Censored Time-to-Event Data (Version 0.1.2)
2018
ocf : Ordered Correlation Forest (Version 1.0.0)
2023
offsetreg : An Extension of 'Tidymodels' Supporting Offset Terms (Version 1.1.0)
2024
omicwas : Cell-Type-Specific Association Testing in Bulk Omics Experiments (Version 0.8.0)
2020
oncoPredict : Drug Response Modeling and Biomarker Discovery (Version 1.2)
2021
oosse : Out-of-Sample R² with Standard Error Estimation (Version 1.0.11)
2023
ordinalNet : Penalized Ordinal Regression (Version 2.12)
2015
origami : Generalized Framework for Cross-Validation (Version 1.0.7)
2017
oscar : Optimal Subset Cardinality Regression (OSCAR) Models Using the L0-Pseudonorm (Version 1.2.1)
2022
palasso : Paired Lasso Regression (Version 0.0.9)
2018
pathwayTMB : Pathway Based Tumor Mutational Burden (Version 0.1.3)
2021
pda : Privacy-Preserving Distributed Algorithms (Version 1.2.7)
2020
pencal : Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival (Version 2.2.1)
2020
penppml : Penalized Poisson Pseudo Maximum Likelihood Regression (Version 0.2.3)
2021
personalized : Estimation and Validation Methods for Subgroup Identification and Personalized Medicine (Version 0.2.7)
2017
pgraph : Build Dependency Graphs using Projection (Version 1.6)
2016
phd : Permutation Testing in High-Dimensional Linear Models (Version 0.2)
2019
pheble : Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)
2023
planningML : A Sample Size Calculator for Machine Learning Applications in Healthcare (Version 1.0.1)
2022
plasso : Cross-Validated (Post-) Lasso (Version 0.1.2)
2023
plotmo : Plot a Model's Residuals, Response, and Partial Dependence Plots (Version 3.6.3)
2011
plsmmLasso : Variable Selection and Inference for Partial Semiparametric Linear Mixed-Effects Model (Version 1.0.0)
2024
plsmselect : Linear and Smooth Predictor Modelling with Penalisation and Variable Selection (Version 0.2.0)
2019
pmml : Generate PMML for Various Models (Version 2.5.2)
2007
politeness : Detecting Politeness Features in Text (Version 0.9.3)
2017
polle : Policy Learning (Version 1.3)
2022
polywog : Bootstrapped Basis Regression with Oracle Model Selection (Version 0.4-1)
2012
pqrBayes : Bayesian Penalized Quantile Regression (Version 1.0.2)
2023
pre : Prediction Rule Ensembles (Version 1.0.7)
2016
precmed : Precision Medicine (Version 1.0.0)
2022
predhy.GUI : Genomic Prediction of Hybrid Performance with Graphical User Interface (Version 1.0)
2023
predhy : Genomic Prediction of Hybrid Performance (Version 2.1.0)
2019
predictoR : Predictive Data Analysis System (Version 3.0.3)
2019
prioritylasso : Analyzing Multiple Omics Data with an Offset Approach (Version 0.3.1)
2017
probe : Sparse High-Dimensional Linear Regression with PROBE (Version 1.1)
2023
projpred : Projection Predictive Feature Selection (Version 2.8.0)
2018
prototest : Inference on Prototypes from Clusters of Features (Version 1.2)
2016
pulsar : Parallel Utilities for Lambda Selection along a Regularization Path (Version 0.3.11)
2016
purgeR : Inbreeding-Purging Estimation in Pedigreed Populations (Version 1.8.2)
2021
qeML : Quick and Easy Machine Learning Tools (Version 1.1)
2023
quadrupen : Sparsity by Worst-Case Quadratic Penalties (Version 0.2-11)
2012
quanteda.textmodels : Scaling Models and Classifiers for Textual Data (Version 0.9.7)
2020
qwraps2 : Quick Wraps 2 (Version 0.6.0)
2015
r2pmml : Convert R Models to PMML (Version 0.27.1)
2019
rMultiNet : Multi-Layer Networks Analysis (Version 0.1)
2023
rare : Linear Model with Tree-Based Lasso Regularization for Rare Features (Version 0.1.1)
2018
rdomains : Get the Category of Content Hosted by a Domain (Version 0.2.1)
2016
regmhmm : 'regmhmm' Fits Hidden Markov Models with Regularization (Version 1.0.0)
2023
regnet : Network-Based Regularization for Generalized Linear Models (Version 1.0.1)
2017
regressoR : Regression Data Analysis System (Version 3.0.2)
2019
regsem : Regularized Structural Equation Modeling (Version 1.9.5)
2016
regtools : Regression and Classification Tools (Version 1.7.0)
2016
relgam : Reluctant Generalized Additive Models (Version 1.0)
2020
riskRegression : Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2023.12.21)
2011
rminer : Data Mining Classification and Regression Methods (Version 1.4.6)
2011
robStepSplitReg : Robust Stepwise Split Regularized Regression (Version 1.1.0)
2023
roben : Robust Bayesian Variable Selection for Gene-Environment Interactions (Version 0.1.1)
2020
roccv : ROC for Cross Validation Results (Version 1.2)
2016
rrpack : Reduced-Rank Regression (Version 0.1-13)
2017
s2net : The Generalized Semi-Supervised Elastic-Net (Version 1.0.7)
2020
sAIC : Akaike Information Criterion for Sparse Estimation (Version 1.0.1)
2016
sMTL : Sparse Multi-Task Learning (Version 0.1.0)
2023
scAnnotate : An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data (Version 0.3)
2022
sdafilter : Symmetrized Data Aggregation (Version 1.0.0)
2020
selectiveInference : Tools for Post-Selection Inference (Version 1.2.5)
2015
sense : Automatic Stacked Ensemble for Regression Tasks (Version 1.0.0)
2021
sentometrics : An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction (Version 1.0.0)
2017
sgd : Stochastic Gradient Descent for Scalable Estimation (Version 1.1.2)
2015
sgs : Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control (Version 0.1.1)
2023
sharp : Stability-enHanced Approaches using Resampling Procedures (Version 1.4.6)
2022
sharpPen : Penalized Data Sharpening for Local Polynomial Regression (Version 1.9)
2021
simode : Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching (Version 1.2.2)
2018
simputation : Simple Imputation (Version 0.2.8)
2016
simulator : An Engine for Running Simulations (Version 0.2.5)
2016
sirus : Stable and Interpretable RUle Set (Version 0.3.3)
2019
sivs : Stable Iterative Variable Selection (Version 0.2.10)
2020
slimrec : Sparse Linear Method to Predict Ratings and Top-N Recommendations (Version 0.1.0)
2017
smurf : Sparse Multi-Type Regularized Feature Modeling (Version 1.1.5)
2018
sox : Structured Learning in Time-Dependent Cox Models (Version 1.1)
2023
sparsegl : Sparse Group Lasso (Version 1.0.2)
2022
sparsereg : Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data (Version 1.2)
2015
sparsevar : Sparse VAR/VECM Models Estimation (Version 0.1.0)
2016
sparsevb : Spike-and-Slab Variational Bayes for Linear and Logistic Regression (Version 0.1.0)
2021
spatstat.model : Parametric Statistical Modelling and Inference for the 'spatstat' Family (Version 3.2-11)
2022
spinBayes : Semi-Parametric Gene-Environment Interaction via Bayesian Variable Selection (Version 0.2.1)
2019
splitSelect : Best Split Selection Modeling for Low-Dimensional Data (Version 1.0.3)
2020
spm2 : Spatial Predictive Modeling (Version 1.1.3)
2021
sprintr : Sparse Reluctant Interaction Modeling (Version 0.9.0)
2019
sqlscore : Utilities for Generating SQL Queries from Model Objects (Version 0.1.4)
2016
squant : Subgroup Identification Based on Quantitative Objectives (Version 1.1.4)
2022
squeezy : Group-Adaptive Elastic Net Penalised Generalised Linear Models (Version 1.1-1)
2021
srlars : Split Robust Least Angle Regression (Version 1.0.1)
2023
stabiliser : Stabilising Variable Selection (Version 1.0.6)
2021
stabs : Stability Selection with Error Control (Version 0.6-4)
2014
stacks : Tidy Model Stacking (Version 1.0.4)
2020
starnet : Stacked Elastic Net (Version 0.0.6)
2020
statVisual : Statistical Visualization Tools (Version 1.2.1)
2019
stepPenal : Stepwise Forward Variable Selection in Penalized Regression (Version 0.2)
2016
stm : Estimation of the Structural Topic Model (Version 1.3.7)
2014
stratamatch : Stratification and Matching for Large Observational Data Sets (Version 0.1.9)
2019
subsemble : An Ensemble Method for Combining Subset-Specific Algorithm Fits (Version 0.1.0)
2014
superMICE : SuperLearner Method for MICE (Version 1.1.1)
2022
superml : Build Machine Learning Models Like Using Python's Scikit-Learn Library in R (Version 0.5.7)
2018
sureLDA : A Novel Multi-Disease Automated Phenotyping Method for the EHR (Version 0.1.0-1)
2020
survcompare : Compares Cox and Survival Random Forests to Quantify Nonlinearity (Version 0.1.2)
2024
survex : Explainable Machine Learning in Survival Analysis (Version 1.2.0)
2022
survival.svb : Fit High-Dimensional Proportional Hazards Models (Version 0.0-2)
2021
survivalSL : Super Learner for Survival Prediction from Censored Data (Version 0.94)
2023
swag : Sparse Wrapper Algorithm (Version 0.1.0)
2020
tehtuner : Fit and Tune Models to Detect Treatment Effect Heterogeneity (Version 0.3.0)
2022
text : Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning (Version 1.2.1)
2020
text2vec : Modern Text Mining Framework for R (Version 0.6.4)
2016
tidyAML : Automatic Machine Learning with 'tidymodels' (Version 0.0.5)
2023
tidyfit : Regularized Linear Modeling with Tidy Data (Version 0.7.1)
2022
tidyhte : Tidy Estimation of Heterogeneous Treatment Effects (Version 1.0.2)
2023
timetk : A Tool Kit for Working with Time Series (Version 2.9.0)
2017
tmle : Targeted Maximum Likelihood Estimation (Version 2.0.0)
2012
tools4uplift : Tools for Uplift Modeling (Version 1.0.0)
2019
tornado : Plots for Model Sensitivity and Variable Importance (Version 0.1.3)
2022
traineR : Predictive (Classification and Regression) Models Homologator (Version 2.2.0)
2019
tramnet : Penalized Transformation Models (Version 0.0-8)
2020
transreg : Penalised Regression with Multiple Sets of Prior Effects (Version 1.0.2)
2023
triplot : Explaining Correlated Features in Machine Learning Models (Version 1.3.0)
2020
tsensembler : Dynamic Ensembles for Time Series Forecasting (Version 0.1.0)
2017
tsrobprep : Robust Preprocessing of Time Series Data (Version 0.3.2)
2020
varEst : Variance Estimation (Version 0.1.0)
2019
varbvs : Large-Scale Bayesian Variable Selection Using Variational Methods (Version 2.6-10)
2012
varycoef : Modeling Spatially Varying Coefficients (Version 0.3.4)
2019
vimp : Perform Inference on Algorithm-Agnostic Variable Importance (Version 2.3.3)
2018
vip : Variable Importance Plots (Version 0.4.1)
2018
webSDM : Including Known Interactions in Species Distribution Models (Version 1.1-4)
2022
wsprv : Weighted Selection Probability for Rare Variant Analysis (Version 0.1.0)
2021
xLLiM : High Dimensional Locally-Linear Mapping (Version 2.3)
2016
xrf : eXtreme RuleFit (Version 0.2.2)
2019
xtune : Regularized Regression with Feature-Specific Penalties Integrating External Information (Version 2.0.0)
2019
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RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN).
Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.
