Referenced by ⇅
Year
BartMixVs : Variable Selection Using Bayesian Additive Regression Trees (Version 1.0.0)
2022
Biocomb : Feature Selection and Classification with the Embedded
Validation Procedures for Biomedical Data Analysis (Version 0.4)
2015
cfbfastR : Access College Football Play by Play Data (Version 1.9.0)
2021
cvam : Coarsened Variable Modeling (Version 0.9.3)
2021
DAMisc : Dave Armstrong"s Miscellaneous Functions (Version 1.7.2)
2010
dave : Functions for "Data Analysis in Vegetation Ecology" (Version 2.0)
2013
DMLLZU : Double Machine Learning (Version 0.1.1)
2021
ensModelVis : Visualisations for Model Ensembles (Version 0.1.0)
2022
glmdisc : Discretization and Grouping for Logistic Regression (Version 0.6)
2019
hybridEnsemble : Build, Deploy and Evaluate Hybrid Ensembles (Version 1.7.9)
2013
HydeNet : Hybrid Bayesian Networks Using R and JAGS (Version 0.10.11)
2015
modelplotr : Plots to Evaluate the Business Performance of Predictive Models (Version 1.1.0)
2019
plot3logit : Ternary Plots for Trinomial Regression Models (Version 3.1.4)
2019
psre : Presenting Statistical Results Effectively (Version 0.1.2)
2022
rbart : Bayesian Trees for Conditional Mean and Variance (Version 1.0)
2019
regfilter : Elimination of Noisy Samples in Regression Datasets using Noise
Filters (Version 1.1.1)
2022
shinyr : Data Insights Through Inbuilt R Shiny App (Version 0.3.0)
2020
Sojourn : Apply Sojourn Methods for Processing ActiGraph Accelerometer
Data (Version 1.1.0)
2019
sparsebnUtils : Utilities for Learning Sparse Bayesian Networks (Version 0.0.8)
2016
viruslearner : Ensemble Learning for HIV-Related Metrics (Version 0.0.2)
2024
chemmodlab : A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models (Version 2.0.0)
2017
seqest : Sequential Method for Classification and Generalized Estimating Equations Problem (Version 1.0.1)
2020
visualpred : Visualization 2D of Binary Classification Models (Version 0.1.0)
2020
MatchIt : Nonparametric Preprocessing for Parametric Causal Inference (Version 4.5.5)
2005
effects : Effect Displays for Linear, Generalized Linear, and Other Models (Version 4.2-2)
2003
eglhmm : Extended Generalised Linear Hidden Markov Models (Version 0.1-3)
2023
elect : Estimation of Life Expectancies Using Multi-State Models (Version 1.2)
2018
em : Generic EM Algorithm (Version 1.0.0)
2023
emmeans : Estimated Marginal Means, aka Least-Squares Means (Version 1.10.5)
2017
epiDisplay : Epidemiological Data Display Package (Version 3.5.0.2)
2015
AER : Applied Econometrics with R (Version 1.2-14)
2008
AICcmodavg : Model Selection and Multimodel Inference Based on (Q)AIC(c) (Version 2.3-3)
2009
ALEPlot : Accumulated Local Effects (ALE) Plots and Partial Dependence (PD) Plots (Version 1.1)
2017
ARTtransfer : Adaptive and Robust Pipeline for Transfer Learning (Version 1.0.0)
2024
BCClong : Bayesian Consensus Clustering for Multiple Longitudinal Features (Version 1.0.3)
2023
BaM : Functions and Datasets for "Bayesian Methods: A Social and Behavioral Sciences Approach" (Version 1.0.3)
2008
BarcodingR : Species Identification using DNA Barcodes (Version 1.0-3)
2016
BayesTree : Bayesian Additive Regression Trees (Version 0.3-1.5)
2006
BiodiversityR : Package for Community Ecology and Suitability Analysis (Version 2.16-1)
2007
CARRoT : Predicting Categorical and Continuous Outcomes Using One in Ten Rule (Version 3.0.2)
2018
CBPS : Covariate Balancing Propensity Score (Version 0.23)
2012
CIMTx : Causal Inference for Multiple Treatments with a Binary Outcome (Version 1.2.0)
2020
CLME : Constrained Inference for Linear Mixed Effects Models (Version 2.0-12)
2014
CORElearn : Classification, Regression and Feature Evaluation (Version 1.57.3)
2009
CaseCohortCoxSurvival : Case-Cohort Cox Survival Inference (Version 0.0.36)
2023
CausalMetaR : Causally Interpretable Meta-Analysis (Version 0.1.2)
2024
CoImp : Parametric and Non-Parametric Copula-Based Imputation Methods (Version 2.0.1)
2014
Compositional : Compositional Data Analysis (Version 7.1)
2016
CondCopulas : Estimation and Inference for Conditional Copula Models (Version 0.1.4.1)
2022
DChaos : Chaotic Time Series Analysis (Version 0.1-7)
2019
DTRreg : DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv) (Version 2.2)
2016
DirectEffects : Estimating Controlled Direct Effects for Explaining Causal Findings (Version 0.3)
2018
DynTxRegime : Methods for Estimating Optimal Dynamic Treatment Regimes (Version 4.15)
2015
EPX : Ensemble of Phalanxes (Version 1.0.4)
2020
EQUALSTATS : Algorithm Driven Statistical Analysis for Researchers without Coding Skills (Version 0.5.0)
2024
EffectLiteR : Average and Conditional Effects (Version 0.5-1)
2015
EnsembleBase : Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling (Version 1.0.2)
2015
EpiForsk : Code Sharing at the Department of Epidemiological Research at Statens Serum Institut (Version 0.1.1)
2023
ExactMed : Exact Mediation Analysis for Binary Outcomes (Version 0.3.0)
2022
ExplainPrediction : Explanation of Predictions for Classification and Regression Models (Version 1.3.0)
2015
FLAME : Interpretable Matching for Causal Inference (Version 2.1.1)
2018
Frames2 : Estimation in Dual Frame Surveys (Version 0.2.1)
2014
GAparsimony : Searching Parsimony Models with Genetic Algorithms (Version 0.9.5)
2017
GGally : Extension to 'ggplot2' (Version 2.2.1)
2010
GLMpack : Data and Code to Accompany Generalized Linear Models, 2nd Edition (Version 0.1.0)
2019
GMDH2 : Binary Classification via GMDH-Type Neural Network Algorithms (Version 1.8)
2018
GPSCDF : Generalized Propensity Score Cumulative Distribution Function (Version 0.1.1)
2019
GenMarkov : Multivariate Markov Chains (Version 0.2.0)
2021
HandTill2001 : Multiple Class Area under ROC Curve (Version 1.0.1)
2012
HardyWeinberg : Statistical Tests and Graphics for Hardy-Weinberg Equilibrium (Version 1.7.8)
2007
Hmisc : Harrell Miscellaneous (Version 5.1-3)
2003
Hmsc : Hierarchical Model of Species Communities (Version 3.0-13)
2019
ImputeLongiCovs : Longitudinal Imputation of Categorical Variables via a Joint Transition Model (Version 0.1.0)
2023
IsingSampler : Sampling Methods and Distribution Functions for the Ising Model (Version 0.2.3)
2014
JSDNE : Estimating the Age using Auricular Surface by DNE (Version 4.4.4)
2024
LCAvarsel : Variable Selection for Latent Class Analysis (Version 1.1)
2017
LDATS : Latent Dirichlet Allocation Coupled with Time Series Analyses (Version 0.3.0)
2019
LUCIDus : LUCID with Multiple Omics Data (Version 3.0.3)
2018
LearnPCA : Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA) (Version 0.3.4)
2022
MASS : Support Functions and Datasets for Venables and Ripley's MASS (Version 7.3-61)
2009
MEDseq : Mixtures of Exponential-Distance Models with Covariates (Version 1.4.1)
2019
MEclustnet : Fit the Mixture of Experts Latent Position Cluster Model to Network Data (Version 1.2.2)
2016
MNLR : Interactive Shiny Presentation for Working with Multinomial Logistic Regression (Version 0.1.0)
2019
MNLpred : Simulated Predicted Probabilities for Multinomial Logit Models (Version 0.0.8)
2019
MSclassifR : Automated Classification of Mass Spectra (Version 0.3.3)
2022
MXM : Feature Selection (Including Multiple Solutions) and Bayesian Networks (Version 1.5.5)
2014
MaOEA : Many Objective Evolutionary Algorithm (Version 0.6.2)
2019
MachineShop : Machine Learning Models and Tools (Version 3.8.0)
2018
MoEClust : Gaussian Parsimonious Clustering Models with Covariates and a Noise Component (Version 1.5.2)
2017
ModTools : Building Regression and Classification Models (Version 0.9.13)
2021
Modeler : Classes and Methods for Training and Using Binary Prediction Models (Version 3.4.5)
2017
MuMIn : Multi-Model Inference (Version 1.48.4)
2010
NeuralNetTools : Visualization and Analysis Tools for Neural Networks (Version 1.5.3)
2014
NeuralSens : Sensitivity Analysis of Neural Networks (Version 1.1.3)
2019
ODRF : Oblique Decision Random Forest for Classification and Regression (Version 0.0.4)
2023
PSweight : Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials (Version 1.2.0)
2020
ProFAST : Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction (Version 1.4)
2023
R2HTML : HTML Exportation for R Objects (Version 2.3.4)
2001
RBtest : Regression-Based Approach for Testing the Type of Missing Data (Version 1.1)
2019
RISCA : Causal Inference and Prediction in Cohort-Based Analyses (Version 1.0.5)
2020
ROSE : Random Over-Sampling Examples (Version 0.0-4)
2013
RRMLRfMC : Reduced-Rank Multinomial Logistic Regression for Markov Chains (Version 0.4.0)
2021
RTextTools : Automatic Text Classification via Supervised Learning (Version 1.4.3)
2011
RVAideMemoire : Testing and Plotting Procedures for Biostatistics (Version 0.9-83-7)
2011
RaSEn : Random Subspace Ensemble Classification and Variable Screening (Version 3.0.0)
2020
RclusTool : Graphical Toolbox for Clustering and Classification of Data Frames (Version 0.91.6)
2019
Rcmdr : R Commander (Version 2.9-5)
2003
RcmdrPlugin.NMBU : R Commander Plug-in for University Level Applied Statistics (Version 1.8.15)
2014
RecordLinkage : Record Linkage Functions for Linking and Deduplicating Data Sets (Version 0.4-12.4)
2010
SDMtune : Species Distribution Model Selection (Version 1.3.1)
2019
SEMdeep : Structural Equation Modeling with Deep Neural Network and Machine Learning (Version 0.1.0)
2024
SIDES : Subgroup Identification Based on Differential Effect Search (Version 1.18)
2016
SLCARE : Semiparametric Latent Class Analysis of Recurrent Events (Version 1.2.0)
2023
SLEMI : Statistical Learning Based Estimation of Mutual Information (Version 1.0.2)
2019
SSDM : Stacked Species Distribution Modelling (Version 0.2.9)
2016
ShinyItemAnalysis : Test and Item Analysis via Shiny (Version 1.5.1)
2016
Sojourn.Data : Supporting Objects for Sojourn Accelerometer Methods (Version 0.3.0)
2019
SuperLearner : Super Learner Prediction (Version 2.0-29)
2011
TBFmultinomial : TBF Methodology Extension for Multinomial Outcomes (Version 0.1.3)
2017
TDSTNN : Time Delay Spatio Temporal Neural Network (Version 0.1.0)
2024
TSPred : Functions for Benchmarking Time Series Prediction (Version 5.1)
2015
TheSFACE : The Subtype Free Average Causal Effect (Version 0.1.0)
2022
VIM : Visualization and Imputation of Missing Values (Version 6.2.2)
2012
VLMCX : Variable Length Markov Chain with Exogenous Covariates (Version 1.0)
2024
WeightedCluster : Clustering of Weighted Data (Version 1.8-0)
2013
abc : Tools for Approximate Bayesian Computation (ABC) (Version 2.2.1)
2010
abn : Modelling Multivariate Data with Additive Bayesian Networks (Version 3.1.1)
2011
adjustedCurves : Confounder-Adjusted Survival Curves and Cumulative Incidence Functions (Version 0.11.2)
2022
analyzer : Data Analysis and Automated R Notebook Generation (Version 1.0.1)
2020
aplore3 : Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic Regression" (3rd Ed., 2013) (Version 0.9)
2014
autostats : Auto Stats (Version 0.4.1)
2021
baguette : Efficient Model Functions for Bagging (Version 1.0.2)
2020
bamlss : Bayesian Additive Models for Location, Scale, and Shape (and Beyond) (Version 1.2-5)
2017
batchtma : Batch Effect Adjustments (Version 0.1.6)
2021
bcROCsurface : Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests (Version 1.0-6)
2016
biomod2 : Ensemble Platform for Species Distribution Modeling (Version 4.2-5-2)
2012
bndovb : Bounding Omitted Variable Bias Using Auxiliary Data (Version 1.1)
2021
brglm2 : Bias Reduction in Generalized Linear Models (Version 0.9.2)
2017
broom.helpers : Helpers for Model Coefficients Tibbles (Version 1.17.0)
2020
broom : Convert Statistical Objects into Tidy Tibbles (Version 1.0.7)
2014
bruceR : Broadly Useful Convenient and Efficient R Functions (Version 2024.6)
2021
buildmer : Stepwise Elimination and Term Reordering for Mixed-Effects Regression (Version 2.11)
2019
burgle : 'Burgle': Stealing the Necessary Parts of Model Objects (Version 0.1.2)
2024
butcher : Model Butcher (Version 0.3.4)
2019
car : Companion to Applied Regression (Version 3.1-3)
2001
caretEnsemble : Ensembles of Caret Models (Version 4.0.1)
2015
caret : Classification and Regression Training (Version 6.0-94)
2007
catdata : Categorical Data (Version 1.2.4)
2012
catregs : Post-Estimation Functions for Generalized Linear Mixed Models (Version 1.2.2)
2024
causal.decomp : Causal Decomposition Analysis (Version 0.1.0)
2021
causalBatch : Causal Batch Effects (Version 1.2.0)
2024
causaldrf : Estimating Causal Dose Response Functions (Version 0.4.2)
2015
cdgd : Causal Decomposition of Group Disparities (Version 0.3.5)
2023
cemco : Fit 'CemCO' Algorithm (Version 0.2)
2020
chemometrics : Multivariate Statistical Analysis in Chemometrics (Version 1.4.4)
2008
clarkeTest : Distribution-Free Tests of Non-Nested Models (Version 0.2.0)
2020
classmap : Visualizing Classification Results (Version 1.2.3)
2021
coca : Cluster-of-Clusters Analysis (Version 1.1.0)
2020
comorbidPGS : Assessing Predisposition Between Phenotypes using Polygenic Scores (Version 0.3.4)
2024
condvis2 : Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)
2019
corHMM : Hidden Markov Models of Character Evolution (Version 2.8)
2013
cpfa : Classification with Parallel Factor Analysis (Version 1.1-5)
2022
cpt : Classification Permutation Test (Version 1.0.2)
2017
cv : Cross-Validating Regression Models (Version 2.0.3)
2023
cvms : Cross-Validation for Model Selection (Version 1.6.2)
2019
daltoolbox : Leveraging Experiment Lines to Data Analytics (Version 1.0.767)
2023
depmixS4 : Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4 (Version 1.5-0)
2008
difNLR : DIF and DDF Detection by Non-Linear Regression Models (Version 1.4.2-1)
2016
discSurv : Discrete Time Survival Analysis (Version 2.0.0)
2015
diversityForest : Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling (Version 0.5.0)
2020
drglm : Fitting Linear and Generalized Linear Models in "Divide and Recombine" Approach to Large Data Sets (Version 1.1)
2024
drpop : Efficient and Doubly Robust Population Size Estimation (Version 0.0.3)
2021
e1071 : Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien (Version 1.7-16)
1999
evclass : Evidential Distance-Based Classification (Version 2.0.2)
2016
evreg : Evidential Regression (Version 1.1.1)
2023
fRegression : Rmetrics - Regression Based Decision and Prediction (Version 4021.83)
2007
fable : Forecasting Models for Tidy Time Series (Version 0.4.0)
2019
factormodel : Factor Model Estimation Using Proxy Variables (Version 1.0)
2021
factorplot : Presenting Pairwise Comparisons (Version 1.2.3)
2014
familiar : End-to-End Automated Machine Learning and Model Evaluation (Version 1.5.0)
2022
fdm2id : Data Mining and R Programming for Beginners (Version 0.9.9)
2019
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
forecast : Forecasting Functions for Time Series and Linear Models (Version 8.23.0)
2009
fscaret : Automated Feature Selection from 'caret' (Version 0.9.4.4)
2013
gWQS : Generalized Weighted Quantile Sum Regression (Version 3.0.5)
2016
gamlss.add : Extra Additive Terms for Generalized Additive Models for Location Scale and Shape (Version 5.1-13)
2009
gamlss.mx : Fitting Mixture Distributions with GAMLSS (Version 6.0-1)
2007
generalhoslem : Goodness of Fit Tests for Logistic Regression Models (Version 1.3.4)
2016
geomod : A Computer Program for Geotechnical Investigations (Version 0.1.0)
2023
gesttools : General Purpose G-Estimation for End of Study or Time-Varying Outcomes (Version 1.3.0)
2020
gfoRmula : Parametric G-Formula (Version 1.1.0)
2019
ggeffects : Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 1.7.2)
2017
ggstats : Extension to 'ggplot2' for Plotting Stats (Version 0.7.0)
2022
glm.predict : Predicted Values and Discrete Changes for Regression Models (Version 4.3-0)
2016
glmglrt : GLRT P-Values in Generalized Linear Models (Version 0.2.2)
2020
glmulti : Model Selection and Multimodel Inference Made Easy (Version 1.0.8)
2009
gnm : Generalized Nonlinear Models (Version 1.1-5)
2005
gofcat : Goodness-of-Fit Measures for Categorical Response Models (Version 0.1.2)
2022
gscaLCA : Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression (Version 0.0.5)
2019
gspcr : Generalized Supervised Principal Component Regression (Version 0.9.5)
2023
gtsummary : Presentation-Ready Data Summary and Analytic Result Tables (Version 2.0.3)
2019
hesim : Health Economic Simulation Modeling and Decision Analysis (Version 0.5.5)
2017
hmm.discnp : Hidden Markov Models with Discrete Non-Parametric Observation Distributions (Version 3.0-9)
2005
hnp : Half-Normal Plots with Simulation Envelopes (Version 1.2-6)
2014
huxtable : Easily Create and Style Tables for LaTeX, HTML and Other Formats (Version 5.5.7)
2017
iBreakDown : Model Agnostic Instance Level Variable Attributions (Version 2.1.2)
2019
insight : Easy Access to Model Information for Various Model Objects (Version 0.20.5)
2019
ipred : Improved Predictors (Version 0.9-15)
2002
ipw : Estimate Inverse Probability Weights (Version 1.2.1)
2010
isni : Index of Local Sensitivity to Nonignorability (Version 1.3)
2018
ivitr : Estimate IV-Optimal Individualized Treatment Rules (Version 0.1.0)
2020
jmv : The 'jamovi' Analyses (Version 2.5.6)
2017
kgschart : KGS Rank Graph Parser (Version 1.3.5)
2017
lda : Collapsed Gibbs Sampling Methods for Topic Models (Version 1.5.2)
2009
lmap : Logistic Mapping (Version 0.1.2)
2022
logisticRR : Adjusted Relative Risk from Logistic Regression (Version 0.3.0)
2018
mDAG : Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph (Version 1.2.2)
2019
mExplorer : Identifying Master Gene Regulators from Gene Expression and DNA-Binding Data (Version 1.0.0)
2017
margins : Marginal Effects for Model Objects (Version 0.3.28)
2017
marginaleffects : Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.23.0)
2021
matrixdist : Statistics for Matrix Distributions (Version 1.1.9)
2021
mboost : Model-Based Boosting (Version 2.9-11)
2006
mcca : Multi-Category Classification Accuracy (Version 0.7.0)
2017
mclogit : Multinomial Logit Models, with or without Random Effects or Overdispersion (Version 0.9.6)
2010
mi : Missing Data Imputation and Model Checking (Version 1.1)
2008
micd : Multiple Imputation in Causal Graph Discovery (Version 1.1.1)
2022
mice : Multivariate Imputation by Chained Equations (Version 3.16.0)
2006
mixvlmc : Variable Length Markov Chains with Covariates (Version 0.2.1)
2023
mlearning : Machine Learning Algorithms with Unified Interface and Confusion Matrices (Version 1.2.1)
2013
mlogit : Multinomial Logit Models (Version 1.1-1)
2008
mlr : Machine Learning in R (Version 2.19.2)
2013
mlr3learners : Recommended Learners for 'mlr3' (Version 0.8.0)
2019
mlrMBO : Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)
2017
mlt.docreg : Most Likely Transformations: Documentation and Regression Tests (Version 1.1-9)
2016
mlt : Most Likely Transformations (Version 1.6-0)
2016
modelsummary : Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready (Version 2.2.0)
2019
multe : Multiple Treatment Effects Regression (Version 1.1.0)
2024
multpois : Analyze Nominal Response Data with the Multinomial-Poisson Trick (Version 0.2.0)
2024
mvrsquared : Compute the Coefficient of Determination for Vector or Matrix Outcomes (Version 0.1.5)
2020
nestedLogit : Nested Dichotomy Logistic Regression Models (Version 0.3.2)
2023
nftbart : Nonparametric Failure Time Bayesian Additive Regression Trees (Version 2.1)
2021
nlpsem : Linear and Nonlinear Longitudinal Process in Structural Equation Modeling Framework (Version 0.3)
2023
noisemodel : Noise Models for Classification Datasets (Version 1.0.2)
2022
npcs : Neyman-Pearson Classification via Cost-Sensitive Learning (Version 0.1.1)
2021
ordinal : Regression Models for Ordinal Data (Version 2023.12-4.1)
2010
ordinalForest : Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables (Version 2.4-3)
2017
papaja : Prepare American Psychological Association Journal Articles with R Markdown (Version 0.1.3)
2022
parameters : Processing of Model Parameters (Version 0.23.0)
2019
pdp : Partial Dependence Plots (Version 0.8.1)
2016
pemultinom : L1-Penalized Multinomial Regression with Statistical Inference (Version 0.1.0)
2023
performanceEstimation : An Infra-Structure for Performance Estimation of Predictive Models (Version 1.1.0)
2014
personalized : Estimation and Validation Methods for Subgroup Identification and Personalized Medicine (Version 0.2.7)
2017
pheble : Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)
2023
pmml : Generate PMML for Various Models (Version 2.5.2)
2007
pocrm : Dose Finding in Drug Combination Phase I Trials Using PO-CRM (Version 0.13)
2013
polyreg : Polynomial Regression (Version 0.8.0)
2019
poolABC : Approximate Bayesian Computation with Pooled Sequencing Data (Version 1.0.0)
2023
prediction : Tidy, Type-Safe 'prediction()' Methods (Version 0.3.18)
2016
probably : Tools for Post-Processing Predicted Values (Version 1.0.3)
2018
projpred : Projection Predictive Feature Selection (Version 2.8.0)
2018
psychomix : Psychometric Mixture Models (Version 1.1-9)
2011
qgcomp : Quantile G-Computation (Version 2.15.2)
2019
radiant.model : Model Menu for Radiant: Business Analytics using R and Shiny (Version 1.6.7)
2016
rasclass : Supervised Raster Image Classification (Version 0.2.2)
2011
rattle : Graphical User Interface for Data Science in R (Version 5.5.1)
2013
relimp : Relative Contribution of Effects in a Regression Model (Version 1.0-5)
2002
rgnoisefilt : Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.2)
2023
riAFTBART : A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes (Version 0.3.3)
2022
rminer : Data Mining Classification and Regression Methods (Version 1.4.7)
2011
rms : Regression Modeling Strategies (Version 6.8-2)
2009
rties : Modeling Interpersonal Dynamics (Version 5.0.0)
2020
semiArtificial : Generator of Semi-Artificial Data (Version 2.4.1)
2014
seqHMM : Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series (Version 1.2.6)
2015
seqimpute : Imputation of Missing Data in Sequence Analysis (Version 2.0.0)
2022
sharp : Stability-enHanced Approaches using Resampling Procedures (Version 1.4.6)
2022
shipunov : Miscellaneous Functions from Alexey Shipunov (Version 1.17.1)
2019
sigQC : Quality Control Metrics for Gene Signatures (Version 0.1.24)
2017
simPop : Simulation of Complex Synthetic Data Information (Version 2.1.3)
2014
sits : Satellite Image Time Series Analysis for Earth Observation Data Cubes (Version 1.5.1)
2022
sjmisc : Data and Variable Transformation Functions (Version 2.8.10)
2015
sodavis : SODA: Main and Interaction Effects Selection for Logistic Regression, Quadratic Discriminant and General Index Models (Version 1.2)
2015
soilassessment : Assessment Models for Agriculture Soil Conditions and Crop Suitability (Version 0.2.6)
2019
sparklyr : R Interface to Apache Spark (Version 1.8.6)
2016
sperrorest : Perform Spatial Error Estimation and Variable Importance Assessment (Version 3.0.5)
2012
spls : Sparse Partial Least Squares (SPLS) Regression and Classification (Version 2.2-3)
2008
sr : Smooth Regression - The Gamma Test and Tools (Version 0.1.0)
2023
stablelearner : Stability Assessment of Statistical Learning Methods (Version 0.1-5)
2018
stacks : Tidy Model Stacking (Version 1.0.5)
2020
stargazer : Well-Formatted Regression and Summary Statistics Tables (Version 5.2.3)
2012
stdReg2 : Regression Standardization for Causal Inference (Version 1.0.1)
2024
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
survivalPLANN : Neural Networks to Predict Survival (Version 0.1)
2024
synthpop : Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control (Version 1.8-0)
2014
texreg : Conversion of R Regression Output to LaTeX or HTML Tables (Version 1.39.4)
2012
tidyfit : Regularized Linear Modeling with Tidy Data (Version 0.7.2)
2022
traineR : Predictive (Classification and Regression) Models Homologator (Version 2.2.0)
2019
translate.logit : Translation of Logit Regression Coefficients into Percentages (Version 1.0)
2023
tsDyn : Nonlinear Time Series Models with Regime Switching (Version 11.0.4.1)
2006
validann : Validation Tools for Artificial Neural Networks (Version 1.2.1)
2016
vcdExtra : 'vcd' Extensions and Additions (Version 0.8-5)
2010
vip : Variable Importance Plots (Version 0.4.1)
2018
viraldomain : Applicability Domain Methods of Viral Load and CD4 Lymphocytes (Version 0.0.6)
2023
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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.
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