Referenced by ⇅
Year
clustDRM : Clustering Dose-Response Curves and Fitting Appropriate Models
to Them (Version 0.1-0)
2019
crtests : Classification and Regression Tests (Version 0.2.1)
2016
deepboost : Deep Boosting Ensemble Modeling (Version 0.1.6)
2016
DMLLZU : Double Machine Learning (Version 0.1.1)
2021
dtwSat : Time-Weighted Dynamic Time Warping for Satellite Image Time
Series Analysis (Version 1.0.0)
2015
dynfeature : Feature Importance for Dynamic Processes (Version 1.0.1)
2021
featuretoolsR : Interact with the "Python" Module "Featuretools" (Version 0.4.4)
2019
fieldRS : Remote Sensing Field Work Tools (Version 0.2.3)
2018
foster : Forest Structure Extrapolation with R (Version 0.1.1)
2020
glmdisc : Discretization and Grouping for Logistic Regression (Version 0.6)
2019
healthcareai : Tools for Healthcare Machine Learning (Version 2.5.1)
2017
hsdar : Manage, Analyse and Simulate Hyperspectral Data (Version 1.0.4)
2015
modelplotr : Plots to Evaluate the Business Performance of Predictive Models (Version 1.1.0)
2019
ordinalClust : Ordinal Data Clustering, Co-Clustering and Classification (Version 1.3.5)
2017
ParallelDSM : Parallel Digital Soil Mapping using Machine Learning (Version 0.3.7)
2020
sandwichr : Spatial Interpolation Based on Spatial Stratified Heterogeneity (Version 1.0.4)
2022
shinyr : Data Insights Through Inbuilt R Shiny App (Version 0.3.0)
2020
chemmodlab : A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models (Version 2.0.0)
2017
rsleep : Analysis of Sleep Data (Version 1.0.12)
2019
FSinR : Feature Selection (Version 2.0.5)
2019
ensembleR : Ensemble Models in R (Version 0.1.0)
2016
FastRet : Retention Time Prediction in Liquid Chromatography (Version 1.1.3)
2024
MobileTrigger : Run Reports, Models, and Scripts from a Mobile Device (Version 0.0.31)
2019
LDLcalc : Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)
2021
LOGANTree : Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments (Version 0.1.1)
2022
MantaID : A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs (Version 1.0.4)
2022
MetabolomicsBasics : Basic Functions to Investigate Metabolomics Data Matrices (Version 1.4.5)
2018
MiDA : Microarray Data Analysis (Version 0.1.2)
2019
MiMIR : Metabolomics-Based Models for Imputing Risk (Version 1.5)
2022
AdaSampling : Adaptive Sampling for Positive Unlabeled and Label Noise Learning (Version 1.3)
2018
AnalysisLin : Exploratory Data Analysis (Version 0.1.2)
2024
AntAngioCOOL : Anti-Angiogenic Peptide Prediction (Version 1.2)
2016
AppliedPredictiveModeling : Functions and Data Sets for 'Applied Predictive Modeling' (Version 1.1-7)
2013
AutoStepwiseGLM : Builds Stepwise GLMs via Train and Test Approach (Version 0.2.0)
2018
BLRShiny : Interactive Document for Working with Binary Logistic Regression Analysis (Version 0.1.0)
2019
BLRShiny2 : Interactive Document for Working with Binary Logistic Regression Analysis (Version 0.1.0)
2020
BioM2 : Biologically Explainable Machine Learning Framework (Version 1.1.0)
2023
CAST : 'caret' Applications for Spatial-Temporal Models (Version 1.0.2)
2018
CEEMDANML : CEEMDAN Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)
2023
CMShiny : Interactive Document for Working with Confusion Matrix (Version 0.1.0)
2019
CSCNet : Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty (Version 0.1.2)
2022
CTShiny : Interactive Document for Working with Classification Tree Analysis (Version 0.1.0)
2019
CTShiny2 : Interactive Document for Working with Classification Tree Analysis (Version 0.1.0)
2020
ClinicalUtilityRecal : Recalibration Methods for Improved Clinical Utility of Risk Scores (Version 0.1.0)
2020
CondiS : Censored Data Imputation for Direct Modeling (Version 0.1.2)
2022
ConfusionTableR : Confusion Matrix Toolset (Version 1.0.4)
2021
ContaminatedMixt : Clustering and Classification with the Contaminated Normal (Version 1.3.8)
2015
CopulaCenR : Copula-Based Regression Models for Multivariate Censored Data (Version 1.2.3)
2019
Coxmos : Cox MultiBlock Survival (Version 1.0.2)
2024
D2MCS : Data Driving Multiple Classifier System (Version 1.0.1)
2021
DMTL : Tools for Applying Distribution Mapping Based Transfer Learning (Version 0.1.2)
2021
DSAM : Data Splitting Algorithms for Model Developments (Version 1.0.2)
2023
DamiaNN : Neural Network Numerai (Version 1.0.0)
2016
DebiasInfer : Efficient Inference on High-Dimensional Linear Model with Missing Outcomes (Version 0.2)
2023
DeepLearningCausal : Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)
2024
EMgaussian : Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data (Version 0.2.1)
2024
ENMTools : Analysis of Niche Evolution using Niche and Distribution Models (Version 1.1.2)
2020
Ecume : Equality of 2 (or k) Continuous Univariate and Multivariate Distributions (Version 0.9.2)
2021
EpiSemble : Ensemble Based Machine Learning Approach for Predicting Methylation States (Version 0.1.1)
2022
EventDetectR : Event Detection Framework (Version 0.3.5)
2018
FACT : Feature Attributions for ClusTering (Version 0.1.1)
2023
FAST.R : Analyze and Visualize FAST-Generated Data (Version 0.2.1)
2023
FFTrees : Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees (Version 2.0.0)
2016
FLORAL : Fit Log-Ratio Lasso Regression for Compositional Data (Version 0.3.0)
2023
FastImputation : Learn from Training Data then Quickly Fill in Missing Data (Version 2.2.1)
2012
FastJM : Semi-Parametric Joint Modeling of Longitudinal and Survival Data (Version 1.4.2)
2022
FeatureTerminatoR : Feature Selection Engine to Remove Features with Minimal Predictive Power (Version 1.0.0)
2021
FuncNN : Functional Neural Networks (Version 1.0)
2020
FunctanSNP : Functional Analysis (with Interactions) for Dense SNP Data (Version 0.1.0)
2022
GAparsimony : Searching Parsimony Models with Genetic Algorithms (Version 0.9.5)
2017
GB5mcPred : Gradient Boosting Algorithm for Predicting Methylation States (Version 0.1.0)
2023
GPCMlasso : Differential Item Functioning in Generalized Partial Credit Models (Version 0.1-7)
2018
HTRX : Haplotype Trend Regression with eXtra Flexibility (HTRX) (Version 1.2.4)
2022
HaploCatcher : A Predictive Haplotyping Package (Version 1.0.4)
2023
ImFoR : Non-Linear Height Diameter Models for Forestry (Version 0.1.0)
2023
ImML : Machine Learning Algorithms Fitting and Validation for Forestry (Version 0.1.5)
2023
ImVol : Volume Prediction of Trees Using Linear and Nonlinear Allometric Equations (Version 0.1.0)
2023
Infusion : Inference Using Simulation (Version 2.2.0)
2016
JMH : Joint Model of Heterogeneous Repeated Measures and Survival Data (Version 1.0.3)
2023
JQL : Jump Q-Learning for Individualized Interval-Valued Dose Rule (Version 3.6.9)
2019
KCSKNNShiny : K-Nearest Neighbour Classifier (Version 0.1.0)
2019
KCSNBShiny : Naive Bayes Classifier (Version 0.1.0)
2019
KMEANS.KNN : KMeans and KNN Clustering Package (Version 0.1.0)
2024
KNNShiny : Interactive Document for Working with KNN Analysis (Version 0.1.0)
2019
LKT : Logistic Knowledge Tracing (Version 1.7.0)
2021
LPRelevance : Relevance-Integrated Statistical Inference Engine (Version 3.3)
2019
LassoGEE : High-Dimensional Lasso Generalized Estimating Equations (Version 1.0)
2020
LncFinder : LncRNA Identification and Analysis Using Heterologous Features (Version 1.1.6)
2017
MBMethPred : Medulloblastoma Subgroups Prediction (Version 0.1.4.2)
2022
MLDataR : Collection of Machine Learning Datasets for Supervised Machine Learning (Version 1.0.1)
2022
MNLR : Interactive Shiny Presentation for Working with Multinomial Logistic Regression (Version 0.1.0)
2019
MRFcov : Markov Random Fields with Additional Covariates (Version 1.0.39)
2018
MRReg : MDL Multiresolution Linear Regression Framework (Version 0.1.5)
2020
MSclassifR : Automated Classification of Mass Spectra (Version 0.3.3)
2022
MSiP : 'MassSpectrometry' Interaction Prediction (Version 1.3.7)
2021
MUVR2 : Multivariate Methods with Unbiased Variable Selection (Version 0.1.0)
2024
NBShiny : Interactive Document for Working with Naive Bayes Classification (Version 0.1.0)
2019
NBShiny2 : Interactive Document for Working with Naive Bayes Classification (Version 0.1.0)
2019
NBShiny3 : Interactive Document for Working with Naive Bayes Classification (Version 0.1.0)
2020
NEONiso : Tools to Calibrate and Work with NEON Atmospheric Isotope Data (Version 0.7.0)
2021
NHSRdatasets : NHS and Healthcare-Related Data for Education and Training (Version 0.3.0)
2019
NeuralNetTools : Visualization and Analysis Tools for Neural Networks (Version 1.5.3)
2014
NeuralSens : Sensitivity Analysis of Neural Networks (Version 1.1.3)
2019
NonProbEst : Estimation in Nonprobability Sampling (Version 0.2.4)
2019
OOS : Out-of-Sample Time Series Forecasting (Version 1.0.0)
2021
OddsPlotty : Odds Plot to Visualise a Logistic Regression Model (Version 1.0.2)
2021
OncoSubtype : Predict Cancer Subtypes Based on TCGA Data using Machine Learning Method (Version 1.0.0)
2024
OpEnHiMR : Optimization Based Ensemble Model for Prediction of Histone Modifications in Rice (Version 0.1.1)
2024
PredPsych : Predictive Approaches in Psychology (Version 0.4)
2017
PriceIndices : Calculating Bilateral and Multilateral Price Indexes (Version 0.2.2)
2021
RCTrep : Validation of Estimates of Treatment Effects in Observational Data (Version 1.2.0)
2023
RGCCA : Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data (Version 3.0.3)
2012
RISCA : Causal Inference and Prediction in Cohort-Based Analyses (Version 1.0.5)
2020
RStoolbox : Remote Sensing Data Analysis (Version 1.0.0)
2015
RaSEn : Random Subspace Ensemble Classification and Variable Screening (Version 3.0.0)
2020
RadialVisGadgets : Interactive Gadgets for Radial Visualization Approaches (Version 0.2.0)
2020
RandPro : Random Projection with Classification (Version 0.2.2)
2017
RankPCA : Rank of Variables Based on Principal Component Analysis for Mixed Data Types (Version 0.1.0)
2024
RelimpPCR : Relative Importance PCA Regression (Version 0.3.0)
2017
Rtropical : Data Analysis Tools over Space of Phylogenetic Trees Using Tropical Geometry (Version 1.2.1)
2021
SAMtool : Stock Assessment Methods Toolkit (Version 1.7.0)
2021
SAiVE : Functions Used for SAiVE Group Research, Collaborations, and Publications (Version 1.0.6)
2024
SLEMI : Statistical Learning Based Estimation of Mutual Information (Version 1.0.2)
2019
SLOPE : Sorted L1 Penalized Estimation (Version 0.5.1)
2015
SSLR : Semi-Supervised Classification, Regression and Clustering Methods (Version 0.9.3.3)
2020
SmCCNet : Sparse Multiple Canonical Correlation Network Analysis Tool (Version 2.0.3)
2019
SmartMeterAnalytics : Methods for Smart Meter Data Analysis (Version 1.0.3)
2020
SoftBart : Implements the SoftBart Algorithm (Version 1.0.1)
2022
SpatialML : Spatial Machine Learning (Version 0.1.7)
2019
SuperLearner : Super Learner Prediction (Version 2.0-29)
2011
SurvMetrics : Predictive Evaluation Metrics in Survival Analysis (Version 0.5.0)
2021
TSEAL : Time Series Analysis Library (Version 0.1.3)
2024
TSGS : Trait Specific Gene Selection using SVM and GA (Version 1.0)
2021
TrafficBDE : Traffic Predictions Using Neural Networks (Version 0.1.2)
2018
UBayFS : A User-Guided Bayesian Framework for Ensemble Feature Selection (Version 1.0)
2023
VIMPS : Calculate Variable Importance with Knock Off Variables (Version 1.0)
2024
WRTDStidal : Weighted Regression for Water Quality Evaluation in Tidal Waters (Version 1.1.4)
2016
WaveletGBM : Wavelet Based Gradient Boosting Method (Version 0.1.0)
2023
WaveletKNN : Wavelet Based K-Nearest Neighbor Model (Version 0.1.0)
2023
WaveletLSTM : Wavelet Based LSTM Model (Version 0.1.0)
2023
WaveletML : Wavelet Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)
2023
aLFQ : Estimating Absolute Protein Quantities from Label-Free LC-MS/MS Proteomics Data (Version 1.3.6)
2013
aVirtualTwins : Adaptation of Virtual Twins Method from Jared Foster (Version 1.0.1)
2016
adabag : Applies Multiclass AdaBoost.M1, SAMME and Bagging (Version 5.0)
2006
aggTrees : Aggregation Trees (Version 2.1.0)
2023
ampir : Predict Antimicrobial Peptides (Version 1.1.0)
2019
archetyper : An Archetype for Data Mining and Data Science Projects (Version 0.1.0)
2021
assignPOP : Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework (Version 1.3.0)
2016
autoBagging : Learning to Rank Bagging Workflows with Metalearning (Version 0.1.0)
2017
basemodels : Baseline Models for Classification and Regression (Version 1.1.0)
2023
bestglm : Best Subset GLM and Regression Utilities (Version 0.37.3)
2009
biomod2 : Ensemble Platform for Species Distribution Modeling (Version 4.2-5-2)
2012
biplotEZ : EZ-to-Use Biplots (Version 2.1)
2023
bnviewer : Bayesian Networks Interactive Visualization and Explainable Artificial Intelligence (Version 0.1.6)
2018
breakDown : Model Agnostic Explainers for Individual Predictions (Version 0.2.2)
2018
broom : Convert Statistical Objects into Tidy Tibbles (Version 1.0.7)
2014
bspcov : Bayesian Sparse Estimation of a Covariance Matrix (Version 1.0.0)
2024
bundle : Serialize Model Objects with a Consistent Interface (Version 0.1.1)
2022
butcher : Model Butcher (Version 0.3.4)
2019
caretEnsemble : Ensembles of Caret Models (Version 4.0.1)
2015
caretForecast : Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms (Version 0.1.1)
2022
cat2cat : Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset (Version 0.4.7)
2020
cdgd : Causal Decomposition of Group Disparities (Version 0.3.5)
2023
ciu : Contextual Importance and Utility (Version 0.6.0)
2020
classifierplots : Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots (Version 1.4.0)
2017
coca : Cluster-of-Clusters Analysis (Version 1.1.0)
2020
cobalt : Covariate Balance Tables and Plots (Version 4.5.5)
2016
combat.enigma : Fit and Apply ComBat, LMM, or Prescaling Harmonization for ENIGMA and Other Multisite MRI Data (Version 1.1)
2023
condvis2 : Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)
2019
counterfactuals : Counterfactual Explanations (Version 0.1.6)
2023
criticality : Modeling Fissile Material Operations in Nuclear Facilities (Version 0.9.3)
2022
cytominer : Methods for Image-Based Cell Profiling (Version 0.2.2)
2017
daltoolbox : Leveraging Experiment Lines to Data Analytics (Version 1.0.767)
2023
datafsm : Estimating Finite State Machine Models from Data (Version 0.2.4)
2015
dbcsp : Distance-Based Common Spatial Patterns (Version 0.0.2.1)
2021
dfr : Dual Feature Reduction for SGL (Version 0.1.0)
2024
discSurv : Discrete Time Survival Analysis (Version 2.0.0)
2015
dissever : Spatial Downscaling using the Dissever Algorithm (Version 0.2-3)
2017
doParallel : Foreach Parallel Adaptor for the 'parallel' Package (Version 1.0.17)
2011
doSNOW : Foreach Parallel Adaptor for the 'snow' Package (Version 1.0.20)
2009
driveR : Prioritizing Cancer Driver Genes Using Genomics Data (Version 0.4.1)
2020
dtComb : Statistical Combination of Diagnostic Tests (Version 1.0.4)
2023
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
evalITR : Evaluating Individualized Treatment Rules (Version 1.0.0)
2020
fairness : Algorithmic Fairness Metrics (Version 1.2.2)
2019
fdm2id : Data Mining and R Programming for Beginners (Version 0.9.9)
2019
flevr : Flexible, Ensemble-Based Variable Selection with Potentially Missing Data (Version 0.0.4)
2023
flowml : A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)
2023
fmeffects : Model-Agnostic Interpretations with Forward Marginal Effects (Version 0.1.3)
2023
fmf : Fast Class Noise Detector with Multi-Factor-Based Learning (Version 1.1.1)
2020
fscaret : Automated Feature Selection from 'caret' (Version 0.9.4.4)
2013
fullRankMatrix : Generation of Full Rank Design Matrix (Version 0.1.0)
2024
gcplyr : Wrangle and Analyze Growth Curve Data (Version 1.10.0)
2023
geomod : A Computer Program for Geotechnical Investigations (Version 0.1.0)
2023
glmtrans : Transfer Learning under Regularized Generalized Linear Models (Version 2.0.0)
2021
glmtree : Logistic Regression Trees (Version 0.3.1)
2019
hdcate : Estimation of Conditional Average Treatment Effects with High-Dimensional Data (Version 0.1.0)
2022
heimdall : Drift Adaptable Models (Version 1.0.717)
2024
hypervolume : High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls (Version 3.1.4)
2013
iForecast : Machine Learning Time Series Forecasting (Version 1.0.8)
2020
iSFun : Integrative Dimension Reduction Analysis for Multi-Source Data (Version 1.1.0)
2021
ibawds : Functions and Datasets for the Data Science Course at IBAW (Version 1.0.0)
2021
icardaFIGSr : Subsetting using Focused Identification of the Germplasm Strategy (FIGS) (Version 1.0.2)
2021
idiolect : Forensic Authorship Analysis (Version 1.0.1)
2024
idm : Incremental Decomposition Methods (Version 1.8.3)
2015
iimi : Identifying Infection with Machine Intelligence (Version 1.1.1)
2024
imanr : Identify the Racial Complex of Native Corns from Mexico (Version 1.0.2)
2024
iml : Interpretable Machine Learning (Version 0.11.3)
2018
immunaut : Machine Learning Immunogenicity and Vaccine Response Analysis (Version 1.0.1)
2024
imputeR : A General Multivariate Imputation Framework (Version 2.2)
2014
imt : Impact Measurement Toolkit (Version 1.0.0)
2024
ipd : Inference on Predicted Data (Version 0.1.2)
2024
iprior : Regression Modelling using I-Priors (Version 0.7.4)
2016
kfa : K-Fold Cross Validation for Factor Analysis (Version 0.2.2)
2021
l1spectral : An L1-Version of the Spectral Clustering (Version 0.99.6)
2021
latrend : A Framework for Clustering Longitudinal Data (Version 1.6.1)
2020
less : Learning with Subset Stacking (Version 0.1.0)
2022
lilikoi : Metabolomics Personalized Pathway Analysis Tool (Version 2.1.1)
2018
loadeR : Load Data for Analysis System (Version 1.3.0)
2023
lulcc : Land Use Change Modelling in R (Version 1.0.4)
2015
m2b : Movement to Behaviour Inference using Random Forest (Version 1.0)
2017
mand : Multivariate Analysis for Neuroimaging Data (Version 2.0)
2020
manymodelr : Build and Tune Several Models (Version 0.3.7)
2019
matrans : Model Averaging-Assisted Optimal Transfer Learning (Version 0.1.0)
2024
mcca : Multi-Category Classification Accuracy (Version 0.7.0)
2017
metaEnsembleR : Automated Intuitive Package for Meta-Ensemble Learning (Version 0.1.0)
2020
metaforest : Exploring Heterogeneity in Meta-Analysis using Random Forests (Version 0.1.4)
2017
metamicrobiomeR : Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI & Random Effects (Version 1.2)
2019
meteo : RFSI & STRK Interpolation for Meteo and Environmental Variables (Version 2.0-3)
2015
mgwrsar : GWR and MGWR with Spatial Autocorrelation (Version 1.0.5)
2021
mikropml : User-Friendly R Package for Supervised Machine Learning Pipelines (Version 1.6.1)
2020
mlmts : Machine Learning Algorithms for Multivariate Time Series (Version 1.1.2)
2022
mlquantify : Algorithms for Class Distribution Estimation (Version 0.2.0)
2020
mlr : Machine Learning in R (Version 2.19.2)
2013
mlr3filters : Filter Based Feature Selection for 'mlr3' (Version 0.8.0)
2019
mlr3spatiotempcv : Spatiotemporal Resampling Methods for 'mlr3' (Version 2.3.1)
2020
mmb : Arbitrary Dependency Mixed Multivariate Bayesian Models (Version 0.13.3)
2020
modelgrid : A Framework for Creating, Managing and Training Multiple 'caret' Models (Version 1.2.0)
2018
moreparty : A Toolbox for Conditional Inference Trees and Random Forests (Version 0.4)
2020
mosaicModel : An Interface to Statistical Modeling Independent of Model Architecture (Version 0.3.0)
2017
mpae : Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods) (Version 0.1.2)
2024
mshap : Multiplicative SHAP Values for Two-Part Models (Version 0.1.0)
2021
mtlgmm : Unsupervised Multi-Task and Transfer Learning on Gaussian Mixture Models (Version 0.1.0)
2022
multiclassPairs : Build MultiClass Pair-Based Classifiers using TSPs or RF (Version 0.4.3)
2020
mxnorm : Apply Normalization Methods to Multiplexed Images (Version 1.0.3)
2022
natstrat : Obtain Unweighted Natural Strata that Balance Many Covariates (Version 2.0.0)
2021
nbTransmission : Naive Bayes Transmission Analysis (Version 1.1.4)
2020
nestedcv : Nested Cross-Validation with 'glmnet' and 'caret' (Version 0.7.10)
2022
noisemodel : Noise Models for Classification Datasets (Version 1.0.2)
2022
nonet : Weighted Average Ensemble without Training Labels (Version 0.4.0)
2018
npcs : Neyman-Pearson Classification via Cost-Sensitive Learning (Version 0.1.1)
2021
omu : A Metabolomics Analysis Tool for Intuitive Figures and Convenient Metadata Collection (Version 1.1.2)
2018
oncrawlR : Machine Learning for S.E.O (Version 0.2.0)
2019
opera : Online Prediction by Expert Aggregation (Version 1.2.0)
2016
outliers.ts.oga : Efficient Outlier Detection in Heterogeneous Time Series Databases (Version 0.0.1)
2024
panelWranglR : Panel Data Wrangling Tools (Version 1.2.13)
2019
pathwayTMB : Pathway Based Tumor Mutational Burden (Version 0.1.3)
2021
pcvr : Plant Phenotyping and Bayesian Statistics (Version 1.0.0)
2024
pdp : Partial Dependence Plots (Version 0.8.1)
2016
peptoolkit : A Toolkit for Using Peptide Sequences in Machine Learning (Version 0.0.1)
2023
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
pmml : Generate PMML for Various Models (Version 2.5.2)
2007
pomodoro : Predictive Power of Linear and Tree Modeling (Version 3.8.0)
2022
posterior : Tools for Working with Posterior Distributions (Version 1.6.0)
2021
pre : Prediction Rule Ensembles (Version 1.0.7)
2016
predfairness : Discrimination Mitigation for Machine Learning Models (Version 0.1.0)
2021
prediction : Tidy, Type-Safe 'prediction()' Methods (Version 0.3.18)
2016
predtoolsTS : Time Series Prediction Tools (Version 0.1.1)
2017
promor : Proteomics Data Analysis and Modeling Tools (Version 0.2.1)
2022
purgeR : Inbreeding-Purging Estimation in Pedigreed Populations (Version 1.8.2)
2021
r2pmml : Convert R Models to PMML (Version 0.28.0)
2019
rQSAR : QSAR Modeling with Multiple Algorithms: MLR, PLS, and Random Forest (Version 1.0.0)
2024
rTLsDeep : Post-Hurricane Damage Severity Classification from TLS and AI (Version 0.0.5)
2023
randomForestSRC : Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) (Version 3.3.1)
2012
refitME : Measurement Error Modelling using MCEM (Version 1.2.2)
2021
regsem : Regularized Structural Equation Modeling (Version 1.9.5)
2016
rmda : Risk Model Decision Analysis (Version 1.6)
2017
robustcov : Collection of Robust Covariance and (Sparse) Precision Matrix Estimators (Version 0.1)
2021
roseRF : ROSE Random Forests for Robust Semiparametric Efficient Estimation (Version 0.1.0)
2024
sMTL : Sparse Multi-Task Learning (Version 0.1.0)
2023
sageR : Applied Statistics for Economics and Management with R (Version 0.6.1)
2021
sentometrics : An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction (Version 1.0.0)
2017
sgs : Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control (Version 0.3.0)
2023
shapr : Prediction Explanation with Dependence-Aware Shapley Values (Version 0.2.2)
2020
sits : Satellite Image Time Series Analysis for Earth Observation Data Cubes (Version 1.5.1)
2022
skedastic : Handling Heteroskedasticity in the Linear Regression Model (Version 2.0.2)
2020
smdi : Perform Structural Missing Data Investigations (Version 0.3.1)
2023
soilassessment : Assessment Models for Agriculture Soil Conditions and Crop Suitability (Version 0.2.6)
2019
spFSR : Feature Selection and Ranking via Simultaneous Perturbation Stochastic Approximation (Version 2.0.4)
2018
spatialEco : Spatial Analysis and Modelling Utilities (Version 2.0-2)
2015
spectacles : Storing, Manipulating and Analysis Spectroscopy and Associated Data (Version 0.5-4)
2017
sregsurvey : Semiparametric Model-Assisted Estimation in Finite Populations (Version 0.1.3)
2021
ssc : Semi-Supervised Classification Methods (Version 2.1-0)
2016
ssr : Semi-Supervised Regression Methods (Version 0.1.1)
2019
stabiliser : Stabilising Variable Selection (Version 1.0.6)
2021
stacking : Building Predictive Models with Stacking (Version 0.1.3)
2023
stepPenal : Stepwise Forward Variable Selection in Penalized Regression (Version 0.2)
2016
strip : Lighten your R Model Outputs (Version 1.0.0)
2017
studyStrap : Study Strap and Multi-Study Learning Algorithms (Version 1.0.0)
2020
subsemble : An Ensemble Method for Combining Subset-Specific Algorithm Fits (Version 0.1.0)
2014
superml : Build Machine Learning Models Like Using Python's Scikit-Learn Library in R (Version 0.5.7)
2018
survcompare : Nested Cross-Validation to Compare Cox-PH, Cox-Lasso, Survival Random Forests (Version 0.2.0)
2024
survivalSL : Super Learner for Survival Prediction from Censored Data (Version 0.96)
2023
swag : Sparse Wrapper Algorithm (Version 0.1.0)
2020
tRigon : Toolbox for Integrative Pathomics Analysis (Version 0.3.3)
2023
tornado : Plots for Model Sensitivity and Variable Importance (Version 0.1.3)
2022
varEst : Variance Estimation (Version 0.1.0)
2019
varrank : Heuristics Tools Based on Mutual Information for Variable Ranking (Version 0.5)
2018
vetiver : Version, Share, Deploy, and Monitor Models (Version 0.2.5)
2021
vip : Variable Importance Plots (Version 0.4.1)
2018
vivid : Variable Importance and Variable Interaction Displays (Version 0.2.9)
2021
waterquality : Satellite Derived Water Quality Detection Algorithms (Version 1.0.0)
2018
waves : Vis-NIR Spectral Analysis Wrapper (Version 0.2.5)
2020
waywiser : Ergonomic Methods for Assessing Spatial Models (Version 0.6.0)
2022
wconf : Weighted Confusion Matrix (Version 1.2.0)
2023
Showing 1-317 of 317
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.
Verify/Update your account
