Referenced by ⇅
Year
Biocomb : Feature Selection and Classification with the Embedded
Validation Procedures for Biomedical Data Analysis (Version 0.4)
2015
CausalKinetiX : Learning Stable Structures in Kinetic Systems (Version 0.2.1)
2019
ccdf : Distribution-Free Single-Cell Differential Expression Analysis (Version 1.1.4)
2021
crtests : Classification and Regression Tests (Version 0.2.1)
2016
DMLLZU : Double Machine Learning (Version 0.1.1)
2021
DriveML : Self-Drive Machine Learning Projects (Version 0.1.5)
2020
feamiR : Classification and Feature Selection for microRNA/mRNA
Interactions (Version 0.1.0)
2021
fieldRS : Remote Sensing Field Work Tools (Version 0.2.3)
2018
foster : Forest Structure Extrapolation with R (Version 0.1.1)
2020
hybridEnsemble : Build, Deploy and Evaluate Hybrid Ensembles (Version 1.7.9)
2013
mistat : Data Sets, Functions and Examples from the Book: "Modern
Industrial Statistics" by Kenett, Zacks and Amberti (Version 2.0.4)
2013
modelplotr : Plots to Evaluate the Business Performance of Predictive Models (Version 1.1.0)
2019
mosmafs : Multi-Objective Simultaneous Model and Feature Selection (Version 0.1.2-1)
2020
ParallelDSM : Parallel Digital Soil Mapping using Machine Learning (Version 0.3.7)
2020
psrwe : PS-Integrated Methods for Incorporating RWE in Clinical Studies (Version 3.1)
2020
regfilter : Elimination of Noisy Samples in Regression Datasets using Noise
Filters (Version 1.1.1)
2022
RFmerge : Merging of Satellite Datasets with Ground Observations using
Random Forests (Version 0.1-10)
2020
rfUtilities : Random Forests Model Selection and Performance Evaluation (Version 2.1-5)
2015
sdmApp : A User-Friendly Application for Species Distribution Modeling (Version 0.0.2)
2021
seAMLess : A Single Cell Transcriptomics Based Deconvolution Pipeline for
Leukemia (Version 0.1.0)
2022
shinyr : Data Insights Through Inbuilt R Shiny App (Version 0.3.0)
2020
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
VHDClassification : Discrimination/Classification in very high dimension with linear
and quadratic rules. (Version 0.3)
2010
zoon : Reproducible, Accessible & Shareable Species Distribution
Modelling (Version 0.6.5)
2015
chemmodlab : A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models (Version 2.0.0)
2017
climenv : Download, Extract and Visualise Climate and Elevation Data (Version 1.0.0)
2023
mmpf : Monte-Carlo Methods for Prediction Functions (Version 0.0.5)
2016
visualpred : Visualization 2D of Binary Classification Models (Version 0.1.0)
2020
LDLcalc : Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)
2021
MatchIt : Nonparametric Preprocessing for Parametric Causal Inference (Version 4.5.5)
2005
A3 : Accurate, Adaptable, and Accessible Error Metrics for Predictive Models (Version 1.0.0)
2013
ARTtransfer : Adaptive and Robust Pipeline for Transfer Learning (Version 1.0.0)
2024
AutoScore : An Interpretable Machine Learning-Based Automatic Clinical Score Generator (Version 1.0.0)
2021
AzureContainers : Interface to 'Container Instances', 'Docker Registry' and 'Kubernetes' in 'Azure' (Version 1.3.2)
2018
BAGofT : A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT) (Version 1.0.0)
2019
BASiNET : Classification of RNA Sequences using Complex Network Theory (Version 0.0.5)
2017
BASiNETEntropy : Classification of RNA Sequences using Complex Network and Information Theory (Version 0.99.6)
2022
BWGS : BreedWheat Genomic Selection Pipeline (Version 0.2.1)
2020
BatchExperiments : Statistical Experiments on Batch Computing Clusters (Version 1.4.3)
2012
BiodiversityR : Package for Community Ecology and Suitability Analysis (Version 2.16-1)
2007
Boruta : Wrapper Algorithm for All Relevant Feature Selection (Version 8.0.0)
2009
C443 : See a Forest for the Trees (Version 3.4.0)
2018
CALIBERrfimpute : Multiple Imputation Using MICE and Random Forest (Version 1.0-7)
2013
CAST : 'caret' Applications for Spatial-Temporal Models (Version 1.0.2)
2018
CERFIT : Causal Effect Random Forest of Interaction Tress (Version 0.1.0)
2022
CRE : Interpretable Discovery and Inference of Heterogeneous Treatment Effects (Version 0.2.7)
2022
CompMix : A Comprehensive Toolkit for Environmental Mixtures Analysis ('CompMix') (Version 0.1.0)
2024
CondIndTests : Nonlinear Conditional Independence Tests (Version 0.1.5)
2017
ConfusionTableR : Confusion Matrix Toolset (Version 1.0.4)
2021
DAAG : Data Analysis and Graphics Data and Functions (Version 1.25.6)
2005
DMTL : Tools for Applying Distribution Mapping Based Transfer Learning (Version 0.1.2)
2021
DeepLearningCausal : Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)
2024
EFS : Tool for Ensemble Feature Selection (Version 1.0.3)
2016
ENMTools : Analysis of Niche Evolution using Niche and Distribution Models (Version 1.1.2)
2020
EPX : Ensemble of Phalanxes (Version 1.0.4)
2020
EnsembleBase : Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling (Version 1.0.2)
2015
EpiSemble : Ensemble Based Machine Learning Approach for Predicting Methylation States (Version 0.1.1)
2022
ExpImage : Analysis of Images in Experiments (Version 0.10.1)
2021
ExplainPrediction : Explanation of Predictions for Classification and Regression Models (Version 1.3.0)
2015
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
FRESA.CAD : Feature Selection Algorithms for Computer Aided Diagnosis (Version 3.4.8)
2014
FSelector : Selecting Attributes (Version 0.34)
2009
FSelectorRcpp : 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support (Version 0.3.13)
2017
FateID : Quantification of Fate Bias in Multipotent Progenitors (Version 0.2.2)
2017
FeatureTerminatoR : Feature Selection Engine to Remove Features with Minimal Predictive Power (Version 1.0.0)
2021
ForestDisc : Forest Discretization (Version 0.1.0)
2020
GB5mcPred : Gradient Boosting Algorithm for Predicting Methylation States (Version 0.1.0)
2023
GIC : A General Iterative Clustering Algorithm (Version 1.0.0)
2021
GMDH2 : Binary Classification via GMDH-Type Neural Network Algorithms (Version 1.8)
2018
GROAN : Genomic Regression Workbench (Version 1.3.1)
2017
GiniDistance : A New Gini Correlation Between Quantitative and Qualitative Variables (Version 0.1.1)
2019
HSAUR : A Handbook of Statistical Analyses Using R (1st Edition) (Version 1.3-10)
2006
HSAUR2 : A Handbook of Statistical Analyses Using R (2nd Edition) (Version 1.1-20)
2009
HSAUR3 : A Handbook of Statistical Analyses Using R (3rd Edition) (Version 1.0-15)
2014
HaploCatcher : A Predictive Haplotyping Package (Version 1.0.4)
2023
ICEbox : Individual Conditional Expectation Plot Toolbox (Version 1.1.5)
2013
IRon : Solving Imbalanced Regression Tasks (Version 0.1.4)
2022
ImHD : Artificial Intelligence Based Machine Learning Algorithms for Height Diameter Relationships of Conifer Trees (Version 0.1.0)
2023
ImML : Machine Learning Algorithms Fitting and Validation for Forestry (Version 0.1.5)
2023
JQL : Jump Q-Learning for Individualized Interval-Valued Dose Rule (Version 3.6.9)
2019
LINselect : Selection of Linear Estimators (Version 1.1.5)
2013
LSDirf : Impulse-Response Function Analysis for Agent-Based Models (Version 0.1.3)
2024
LongituRF : Random Forests for Longitudinal Data (Version 0.9)
2020
MBMethPred : Medulloblastoma Subgroups Prediction (Version 0.1.4.2)
2022
MLPUGS : Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains) (Version 0.2.0)
2016
MPV : Data Sets from Montgomery, Peck and Vining (Version 1.64)
2002
MSclassifR : Automated Classification of Mass Spectra (Version 0.3.3)
2022
MUVR2 : Multivariate Methods with Unbiased Variable Selection (Version 0.1.0)
2024
MachineShop : Machine Learning Models and Tools (Version 3.8.0)
2018
MixRF : A Random-Forest-Based Approach for Imputing Clustered Incomplete Data (Version 1.0)
2016
ModTools : Building Regression and Classification Models (Version 0.9.13)
2021
ModelMap : Modeling and Map Production using Random Forest and Related Stochastic Models (Version 3.4.0.4)
2009
Modeler : Classes and Methods for Training and Using Binary Prediction Models (Version 3.4.5)
2017
NCSampling : Nearest Centroid (NC) Sampling (Version 1.0)
2017
NicheBarcoding : Niche-model-Based Species Identification (Version 1.0)
2021
OOBCurve : Out of Bag Learning Curve (Version 0.3)
2017
ORION : Ordinal Relations (Version 1.0.3)
2020
OTE : Optimal Trees Ensembles for Regression, Classification and Class Membership Probability Estimation (Version 1.0.1)
2015
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
OpenML : Open Machine Learning and Open Data Platform (Version 1.12)
2016
POPInf : Assumption-Lean and Data-Adaptive Post-Prediction Inference (Version 1.0.0)
2024
PheVis : Automatic Phenotyping of Electronic Health Record at Visit Resolution (Version 1.0.4)
2021
PhysicalActivity : Process Accelerometer Data for Physical Activity Measurement (Version 0.2-4)
2010
PredPsych : Predictive Approaches in Psychology (Version 0.4)
2017
REPTILE : Regulatory DNA Element Prediction (Version 1.0)
2016
RFclust : Random Forest Cluster Analysis (Version 0.1.2)
2021
RFlocalfdr : Significance Level for Random Forest Impurity Importance Scores (Version 0.8.5)
2023
RLT : Reinforcement Learning Trees (Version 3.2.6)
2017
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
RStoolbox : Remote Sensing Data Analysis (Version 1.0.0)
2015
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
RaceID : Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data (Version 0.3.6)
2018
RandomForestsGLS : Random Forests for Dependent Data (Version 0.1.5)
2021
RclusTool : Graphical Toolbox for Clustering and Classification of Data Frames (Version 0.91.6)
2019
Ricrt : Randomization Inference of Clustered Randomized Trials (Version 0.1.0)
2023
Rtrack : Spatial Navigation Strategy Analysis (Version 2.0.3)
2019
SDMtune : Species Distribution Model Selection (Version 1.3.1)
2019
SSDM : Stacked Species Distribution Modelling (Version 0.2.9)
2016
SSLR : Semi-Supervised Classification, Regression and Clustering Methods (Version 0.9.3.3)
2020
STGS : Genomic Selection using Single Trait (Version 0.1.0)
2019
SmartMeterAnalytics : Methods for Smart Meter Data Analysis (Version 1.0.3)
2020
SpatialML : Spatial Machine Learning (Version 0.1.7)
2019
Sstack : Bootstrap Stacking of Random Forest Models for Heterogeneous Data (Version 1.0.1)
2018
SuperLearner : Super Learner Prediction (Version 2.0-29)
2011
SweepDiscovery : Selective Sweep Discovery Tool (Version 0.1.1)
2023
SynDI : Synthetic Data Integration (Version 0.1.0)
2022
TIGERr : Technical Variation Elimination with Ensemble Learning Architecture (Version 1.0.0)
2021
TSPred : Functions for Benchmarking Time Series Prediction (Version 5.1)
2015
TriMatch : Propensity Score Matching of Non-Binary Treatments (Version 0.9.9)
2013
TunePareto : Multi-Objective Parameter Tuning for Classifiers (Version 2.5.3)
2010
UBL : An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks (Version 0.0.9)
2016
VMDML : Variational Mode Decomposition Based Machine Learning Models (Version 0.1.1)
2022
VSURF : Variable Selection Using Random Forests (Version 1.2.0)
2013
WaveletRF : Wavelet-RF Hybrid Model for Time Series Forecasting (Version 0.1.0)
2022
aLFQ : Estimating Absolute Protein Quantities from Label-Free LC-MS/MS Proteomics Data (Version 1.3.6)
2013
aRtsy : Generative Art with 'ggplot2' (Version 0.2.4)
2021
aVirtualTwins : Adaptation of Virtual Twins Method from Jared Foster (Version 1.0.1)
2016
acumos : 'Acumos' R Interface (Version 0.4-4)
2020
aloom : All Leave-One-Out Models (Version 0.1.1)
2023
alookr : Model Classifier for Binary Classification (Version 0.3.9)
2020
assignPOP : Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework (Version 1.3.0)
2016
auditor : Model Audit - Verification, Validation, and Error Analysis (Version 1.3.5)
2018
banter : BioAcoustic eveNT classifiER (Version 0.9.6)
2018
bartMachine : Bayesian Additive Regression Trees (Version 1.3.4.1)
2013
binomialRF : Binomial Random Forest Feature Selection (Version 0.1.0)
2020
biomod2 : Ensemble Platform for Species Distribution Modeling (Version 4.2-5-2)
2012
breakDown : Model Agnostic Explainers for Individual Predictions (Version 0.2.2)
2018
butcher : Model Butcher (Version 0.3.4)
2019
caretEnsemble : Ensembles of Caret Models (Version 4.0.1)
2015
caret : Classification and Regression Training (Version 6.0-94)
2007
cat2cat : Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset (Version 0.4.7)
2020
cem : Coarsened Exact Matching (Version 1.1.31)
2008
ceterisParibus : Ceteris Paribus Profiles (Version 0.4.2)
2018
classmap : Visualizing Classification Results (Version 1.2.3)
2021
conTree : Contrast Trees and Boosting (Version 0.3-1)
2023
condvis2 : Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)
2019
conformalClassification : Transductive and Inductive Conformal Predictions for Classification Problems (Version 1.0.0)
2017
cornet : Penalised Regression for Dichotomised Outcomes (Version 1.0.0)
2019
countSTAR : Flexible Modeling of Count Data (Version 1.0.2)
2023
counterfactuals : Counterfactual Explanations (Version 0.1.6)
2023
cpfa : Classification with Parallel Factor Analysis (Version 1.1-5)
2022
cpt : Classification Permutation Test (Version 1.0.2)
2017
creditmodel : Toolkit for Credit Modeling, Analysis and Visualization (Version 1.3.1)
2019
curvir : Specify Reserve Demand Curves (Version 0.1.1)
2023
cvms : Cross-Validation for Model Selection (Version 1.6.2)
2019
daltoolbox : Leveraging Experiment Lines to Data Analytics (Version 1.0.767)
2023
dendroTools : Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data (Version 1.2.13)
2017
dismo : Species Distribution Modeling (Version 1.3-14)
2010
dissever : Spatial Downscaling using the Dissever Algorithm (Version 0.2-3)
2017
dlookr : Tools for Data Diagnosis, Exploration, Transformation (Version 0.6.3)
2018
dmlalg : Double Machine Learning Algorithms (Version 1.0.2)
2021
doMPI : Foreach Parallel Adaptor for the Rmpi Package (Version 0.2.2)
2009
driveR : Prioritizing Cancer Driver Genes Using Genomics Data (Version 0.4.1)
2020
dsld : Data Science Looks at Discrimination (Version 0.2.2)
2024
dyn : Time Series Regression (Version 0.2-9.6)
2005
e1071 : Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien (Version 1.7-16)
1999
easyalluvial : Generate Alluvial Plots with a Single Line of Code (Version 0.3.2)
2018
ebmc : Ensemble-Based Methods for Class Imbalance Problem (Version 1.0.1)
2017
ecospat : Spatial Ecology Miscellaneous Methods (Version 4.1.1)
2014
ecr : Evolutionary Computation in R (Version 2.1.1)
2016
evalITR : Evaluating Individualized Treatment Rules (Version 1.0.0)
2020
explore : Simplifies Exploratory Data Analysis (Version 1.3.2)
2019
fdm2id : Data Mining and R Programming for Beginners (Version 0.9.9)
2019
featurefinder : Feature Finder (Version 1.1)
2018
flowml : A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)
2023
foreach : Provides Foreach Looping Construct (Version 1.5.2)
2009
forecastML : Time Series Forecasting with Machine Learning Methods (Version 0.9.0)
2019
forestControl : Approximate False Positive Rate Control in Selection Frequency for Random Forest (Version 0.2.2)
2018
forestError : A Unified Framework for Random Forest Prediction Error Estimation (Version 1.1.0)
2020
fscaret : Automated Feature Selection from 'caret' (Version 0.9.4.4)
2013
fuzzyforest : Fuzzy Forests (Version 1.0.8)
2016
gamclass : Functions and Data for a Course on Modern Regression and Classification (Version 0.62.5)
2012
geomod : A Computer Program for Geotechnical Investigations (Version 0.1.0)
2023
gfoRmula : Parametric G-Formula (Version 1.1.0)
2019
ggRandomForests : Visually Exploring Random Forests (Version 2.2.1)
2014
ggResidpanel : Panels and Interactive Versions of Diagnostic Plots using 'ggplot2' (Version 0.3.0)
2019
ggscidca : Plotting Decision Curve Analysis with Coloured Bars (Version 0.2.3)
2024
hdcate : Estimation of Conditional Average Treatment Effects with High-Dimensional Data (Version 0.1.0)
2022
iBreakDown : Model Agnostic Instance Level Variable Attributions (Version 2.1.2)
2019
iimi : Identifying Infection with Machine Intelligence (Version 1.1.1)
2024
iml : Interpretable Machine Learning (Version 0.11.3)
2018
imputeMissings : Impute Missing Values in a Predictive Context (Version 0.0.4)
2015
interpretR : Binary Classifier and Regression Model Interpretation Functions (Version 0.2.5)
2014
ipd : Inference on Predicted Data (Version 0.1.2)
2024
ipred : Improved Predictors (Version 0.9-15)
2002
ivitr : Estimate IV-Optimal Individualized Treatment Rules (Version 0.1.0)
2020
kernelFactory : Kernel Factory: An Ensemble of Kernel Machines (Version 0.3.0)
2012
klaR : Classification and Visualization (Version 1.7-3)
2004
less : Learning with Subset Stacking (Version 0.1.0)
2022
localICE : Local Individual Conditional Expectation (Version 0.1.1)
2019
localModel : LIME-Based Explanations with Interpretable Inputs Based on Ceteris Paribus Profiles (Version 0.5)
2019
lolR : Linear Optimal Low-Rank Projection (Version 2.1)
2018
lulcc : Land Use Change Modelling in R (Version 1.0.4)
2015
m2b : Movement to Behaviour Inference using Random Forest (Version 1.0)
2017
mboost : Model-Based Boosting (Version 2.9-11)
2006
memoria : Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series (Version 1.0.0)
2019
metaEnsembleR : Automated Intuitive Package for Meta-Ensemble Learning (Version 0.1.0)
2020
metamicrobiomeR : Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI & Random Effects (Version 1.2)
2019
mice : Multivariate Imputation by Chained Equations (Version 3.16.0)
2006
microbial : Do 16s Data Analysis and Generate Figures (Version 0.0.21)
2020
microeco : Microbial Community Ecology Data Analysis (Version 1.9.1)
2020
mikropml : User-Friendly R Package for Supervised Machine Learning Pipelines (Version 1.6.1)
2020
missForest : Nonparametric Missing Value Imputation using Random Forest (Version 1.5)
2011
mlearning : Machine Learning Algorithms with Unified Interface and Confusion Matrices (Version 1.2.1)
2013
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
mlrCPO : Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)
2018
mlrMBO : Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)
2017
mlrintermbo : Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1)
2021
modeltime : The Tidymodels Extension for Time Series Modeling (Version 1.3.1)
2020
mosaicModel : An Interface to Statistical Modeling Independent of Model Architecture (Version 0.3.0)
2017
mt : Metabolomics Data Analysis Toolbox (Version 2.0-1.20)
2021
multivarious : Extensible Data Structures for Multivariate Analysis (Version 0.2.0)
2024
needmining : A Simple Needmining Implementation (Version 0.1.1)
2019
nestedcv : Nested Cross-Validation with 'glmnet' and 'caret' (Version 0.7.10)
2022
nlcv : Nested Loop Cross Validation (Version 0.3.5)
2017
nlnet : Nonlinear Network, Clustering, and Variable Selection Based on DCOL (Version 1.4)
2015
nlpred : Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples (Version 1.0.1)
2019
nonet : Weighted Average Ensemble without Training Labels (Version 0.4.0)
2018
nonlinearICP : Invariant Causal Prediction for Nonlinear Models (Version 0.1.2.1)
2017
nproc : Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves (Version 2.1.5)
2016
omu : A Metabolomics Analysis Tool for Intuitive Figures and Convenient Metadata Collection (Version 1.1.2)
2018
oosse : Out-of-Sample R² with Standard Error Estimation (Version 1.0.11)
2023
optBiomarker : Estimation of Optimal Number of Biomarkers for Two-Group Microarray Based Classifications at a Given Error Tolerance Level for Various Classification Rules (Version 1.0-28)
2009
origami : Generalized Framework for Cross-Validation (Version 1.0.7)
2017
pRF : Permutation Significance for Random Forests (Version 1.2)
2015
pander : An R 'Pandoc' Writer (Version 0.6.5)
2012
parameters : Processing of Model Parameters (Version 0.23.0)
2019
parcats : Interactive Parallel Categories Diagrams for 'easyalluvial' (Version 0.0.5)
2019
party : A Laboratory for Recursive Partytioning (Version 1.3-17)
2005
partykit : A Toolkit for Recursive Partytioning (Version 1.2-22)
2011
pathwayTMB : Pathway Based Tumor Mutational Burden (Version 0.1.3)
2021
pctax : Professional Comprehensive Omics Data Analysis (Version 0.1.1)
2024
pdi : Phenotypic Index Measures for Oak Decline Severity (Version 0.4.2)
2020
pdp : Partial Dependence Plots (Version 0.8.1)
2016
performanceEstimation : An Infra-Structure for Performance Estimation of Predictive Models (Version 1.1.0)
2014
performance : Assessment of Regression Models Performance (Version 0.12.4)
2019
permimp : Conditional Permutation Importance (Version 1.0-2)
2020
pheble : Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)
2023
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
practicalSigni : Practical Significance Ranking of Regressors and Exact t Density (Version 0.1.2)
2023
probably : Tools for Post-Processing Predicted Values (Version 1.0.3)
2018
psica : Decision Tree Analysis for Probabilistic Subgroup Identification with Multiple Treatments (Version 1.0.2)
2018
purge : Purge Training Data from Models (Version 0.2.1)
2015
qeML : Quick and Easy Machine Learning Tools (Version 1.1)
2023
quantregForest : Quantile Regression Forests (Version 1.3-7.1)
2006
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
rSAFE : Surrogate-Assisted Feature Extraction (Version 0.1.4)
2021
randomForestExplainer : Explaining and Visualizing Random Forests in Terms of Variable Importance (Version 0.10.1)
2017
randomForestVIP : Tune Random Forests Based on Variable Importance & Plot Results (Version 0.1.3)
2023
rasclass : Supervised Raster Image Classification (Version 0.2.2)
2011
rattle : Graphical User Interface for Data Science in R (Version 5.5.1)
2013
raw : R Actuarial Workshops (Version 0.1.8)
2016
regclass : Tools for an Introductory Class in Regression and Modeling (Version 1.6)
2016
rfPermute : Estimate Permutation p-Values for Random Forest Importance Metrics (Version 2.5.2)
2011
rfVarImpOOB : Unbiased Variable Importance for Random Forests (Version 1.0.3)
2020
rfviz : Interactive Visualization Tool for Random Forests (Version 1.0.1)
2018
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
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 1.4.7)
2011
scorecardModelUtils : Credit Scorecard Modelling Utils (Version 0.0.1.0)
2018
see : Model Visualisation Toolbox for 'easystats' and 'ggplot2' (Version 0.9.0)
2019
seer : Feature-Based Forecast Model Selection (Version 1.1.8)
2020
sentometrics : An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction (Version 1.0.0)
2017
shapper : Wrapper of Python Library 'shap' (Version 0.1.3)
2019
shipunov : Miscellaneous Functions from Alexey Shipunov (Version 1.17.1)
2019
sigInt : Estimate the Parameters of a Discrete Crisis-Bargaining Game (Version 0.2.0)
2019
simputation : Simple Imputation (Version 0.2.8)
2016
sits : Satellite Image Time Series Analysis for Earth Observation Data Cubes (Version 1.5.1)
2022
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
sovereign : State-Dependent Empirical Analysis (Version 1.2.1)
2021
spikeslab : Prediction and Variable Selection Using Spike and Slab Regression (Version 1.1.6)
2010
spm : Spatial Predictive Modeling (Version 1.2.2)
2017
spm2 : Spatial Predictive Modeling (Version 1.1.3)
2021
stablelearner : Stability Assessment of Statistical Learning Methods (Version 0.1-5)
2018
stars : Spatiotemporal Arrays, Raster and Vector Data Cubes (Version 0.6-6)
2018
statVisual : Statistical Visualization Tools (Version 1.2.1)
2019
steprf : Stepwise Predictive Variable Selection for Random Forest (Version 1.0.2)
2021
stratamatch : Stratification and Matching for Large Observational Data Sets (Version 0.1.9)
2019
strip : Lighten your R Model Outputs (Version 1.0.0)
2017
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
swag : Sparse Wrapper Algorithm (Version 0.1.0)
2020
synthesizer : Synthesize Data Based on Empirical Quantile Functions and Rank Order Matching (Version 0.3.1)
2024
synthpop : Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control (Version 1.8-0)
2014
tRigon : Toolbox for Integrative Pathomics Analysis (Version 0.3.3)
2023
tashu : Analysis and Prediction of Bicycle Rental Amount (Version 0.1.1)
2019
text : Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning (Version 1.2.3)
2020
tidyAML : Automatic Machine Learning with 'tidymodels' (Version 0.0.5)
2023
tidyfit : Regularized Linear Modeling with Tidy Data (Version 0.7.2)
2022
tidypredict : Run Predictions Inside the Database (Version 0.5)
2018
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
tree.interpreter : Random Forest Prediction Decomposition and Feature Importance Measure (Version 0.1.1)
2019
treeshap : Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm (Version 0.3.1)
2023
triplot : Explaining Correlated Features in Machine Learning Models (Version 1.3.0)
2020
utiml : Utilities for Multi-Label Learning (Version 0.1.7)
2016
varSelRF : Variable Selection using Random Forests (Version 0.7-8)
2005
vip : Variable Importance Plots (Version 0.4.1)
2018
visaOTR : Valid Improved Sparsity A-Learning for Optimal Treatment Decision (Version 0.1.0)
2022
vita : Variable Importance Testing Approaches (Version 1.0.0)
2015
vivo : Variable Importance via Oscillations (Version 0.2.1)
2019
vivid : Variable Importance and Variable Interaction Displays (Version 0.2.9)
2021
vtype : Estimates the Variable Type in Error Afflicted Data (Version 0.8)
2021
waves : Vis-NIR Spectral Analysis Wrapper (Version 0.2.5)
2020
webSDM : Including Known Interactions in Species Distribution Models (Version 1.1-5)
2022
wsrf : Weighted Subspace Random Forest for Classification (Version 1.7.30)
2014
xLLiM : High Dimensional Locally-Linear Mapping (Version 2.3)
2016
xgrove : Explanation Groves (Version 0.1-13)
2023
yaImpute : Nearest Neighbor Observation Imputation and Evaluation Tools (Version 1.0-34.1)
2007
Showing 1-341 of 341
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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