Referenced by ⇅
Year
treemisc : Data Sets and Functions to Accompany "Tree-Based Methods for
Statistical Learning in R" (Version 0.0.1)
2022
ATR : Alternative Tree Representation (Version 0.1-1)
2018
BoomSpikeSlab : MCMC for Spike and Slab Regression (Version 1.2.6)
2014
BoostMLR : Boosting for Multivariate Longitudinal Responses (Version 1.0.3)
2020
Boruta : Wrapper Algorithm for All Relevant Feature Selection (Version 8.0.0)
2009
ConfusionTableR : Confusion Matrix Toolset (Version 1.0.4)
2021
Cubist : Rule- And Instance-Based Regression Modeling (Version 0.4.2.1)
2011
EZtune : Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines (Version 3.1.1)
2018
Elja : Linear, Logistic and Generalized Linear Models Regressions for the EnvWAS/EWAS Approach (Version 1.0.0)
2023
Evacluster : Evaluation Clustering Methods for Disease Subtypes Diagnosis (Version 0.1.0)
2022
ExhaustiveSearch : A Fast and Scalable Exhaustive Feature Selection Framework (Version 1.0.1)
2021
FSelector : Selecting Attributes (Version 0.34)
2009
FSinR : Feature Selection (Version 2.0.5)
2019
GAMens : Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification (Version 1.2.1)
2010
GAparsimony : Searching Parsimony Models with Genetic Algorithms (Version 0.9.5)
2017
GMDH2 : Binary Classification via GMDH-Type Neural Network Algorithms (Version 1.8)
2018
HSAUR3 : A Handbook of Statistical Analyses Using R (3rd Edition) (Version 1.0-14)
2014
LLM : Logit Leaf Model Classifier for Binary Classification (Version 1.1.0)
2018
OddsPlotty : Odds Plot to Visualise a Logistic Regression Model (Version 1.0.2)
2021
RBPcurve : The Residual-Based Predictiveness Curve (Version 1.2)
2015
RWeka : R/Weka Interface (Version 0.4-46)
2006
SuperLearner : Super Learner Prediction (Version 2.0-29)
2011
TSDT : Treatment-Specific Subgroup Detection Tool (Version 1.0.7)
2018
adabag : Applies Multiclass AdaBoost.M1, SAMME and Bagging (Version 5.0)
2006
agghoo : Aggregated Hold-Out Cross Validation (Version 0.1-0)
2023
alookr : Model Classifier for Binary Classification (Version 0.3.9)
2020
archetypes : Archetypal Analysis (Version 2.2-0.1)
2009
arf : Adversarial Random Forests (Version 0.2.0)
2022
arulesCBA : Classification Based on Association Rules (Version 1.2.6)
2016
aum : Area Under Minimum of False Positives and Negatives (Version 2023.6.14)
2022
bayesGAM : Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo (Version 0.0.2)
2020
bnclassify : Learning Discrete Bayesian Network Classifiers from Data (Version 0.4.8)
2015
bolasso : Model Consistent Lasso Estimation Through the Bootstrap (Version 0.2.0)
2022
caret : Classification and Regression Training (Version 6.0-94)
2007
caretEnsemble : Ensembles of Caret Models (Version 2.0.3)
2015
clusterSim : Searching for Optimal Clustering Procedure for a Data Set (Version 0.51-3)
2007
conformalClassification : Transductive and Inductive Conformal Predictions for Classification Problems (Version 1.0.0)
2017
cuda.ml : R Interface for the RAPIDS cuML Suite of Libraries (Version 0.3.2)
2021
dann : Discriminant Adaptive Nearest Neighbor Classification (Version 1.0.0)
2019
datarobot : 'DataRobot' Predictive Modeling API (Version 2.18.6)
2016
discrim : Model Wrappers for Discriminant Analysis (Version 1.0.1)
2019
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
e1071 : Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien (Version 1.7-14)
1999
easyalluvial : Generate Alluvial Plots with a Single Line of Code (Version 0.3.2)
2018
ecr : Evolutionary Computation in R (Version 2.1.1)
2016
evtree : Evolutionary Learning of Globally Optimal Trees (Version 1.0-8)
2011
explainer : Machine Learning Model Explainer (Version 1.0.1)
2023
flacco : Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems (Version 1.8)
2015
flexOR : Flexible Odds Ratio Curves (Version 1.0.0)
2024
flexmix : Flexible Mixture Modeling (Version 2.3-19)
2003
forestRK : Implements the Forest-R.K. Algorithm for Classification Problems (Version 0.0-5)
2019
fscaret : Automated Feature Selection from 'caret' (Version 0.9.4.4)
2013
gamclass : Functions and Data for a Course on Modern Regression and Classification (Version 0.62.5)
2012
ggparty : 'ggplot' Visualizations for the 'partykit' Package (Version 1.0.0)
2019
h2o : R Interface for the 'H2O' Scalable Machine Learning Platform (Version 3.44.0.3)
2014
hmclearn : Fit Statistical Models Using Hamiltonian Monte Carlo (Version 0.0.5)
2020
interactionRCS : Calculate Estimates in Models with Interaction (Version 0.1.1)
2022
ipred : Improved Predictors (Version 0.9-14)
2002
isotree : Isolation-Based Outlier Detection (Version 0.6.1-1)
2019
klaR : Classification and Visualization (Version 1.7-3)
2004
localICE : Local Individual Conditional Expectation (Version 0.1.1)
2019
mboost : Model-Based Boosting (Version 2.9-9)
2006
mlearning : Machine Learning Algorithms with Unified Interface and Confusion Matrices (Version 1.2.1)
2013
mlexperiments : Machine Learning Experiments (Version 0.0.3)
2023
mllrnrs : R6-Based ML Learners for 'mlexperiments' (Version 0.0.3)
2023
mlr3 : Machine Learning in R - Next Generation (Version 0.19.0)
2019
mlr3cluster : Cluster Extension for 'mlr3' (Version 0.1.9)
2020
mlr : Machine Learning in R (Version 2.19.1)
2013
mlr3pipelines : Preprocessing Operators and Pipelines for 'mlr3' (Version 0.5.2)
2019
mlrCPO : Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)
2018
mlt.docreg : Most Likely Transformations: Documentation and Regression Tests (Version 1.1-7)
2016
neighbr : Classification, Regression, Clustering with K Nearest Neighbors (Version 1.0.3)
2019
nestedcv : Nested Cross-Validation with 'glmnet' and 'caret' (Version 0.7.8)
2022
party : A Laboratory for Recursive Partytioning (Version 1.3-14)
2005
partykit : A Toolkit for Recursive Partytioning (Version 1.2-20)
2011
pdp : Partial Dependence Plots (Version 0.8.1)
2016
performanceEstimation : An Infra-Structure for Performance Estimation of Predictive Models (Version 1.1.0)
2014
pre : Prediction Rule Ensembles (Version 1.0.7)
2016
r2pmml : Convert R Models to PMML (Version 0.27.1)
2019
randomForestSRC : Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) (Version 3.2.3)
2012
rbooster : AdaBoost Framework for Any Classifier (Version 1.1.0)
2021
sjtable2df : Convert 'sjPlot' HTML-Tables to R 'data.frame' (Version 0.0.3)
2022
skedastic : Handling Heteroskedasticity in the Linear Regression Model (Version 2.0.2)
2020
solitude : An Implementation of Isolation Forest (Version 1.1.3)
2018
sparklyr : R Interface to Apache Spark (Version 1.8.5)
2016
spikeSlabGAM : Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models (Version 1.1-19)
2011
stabm : Stability Measures for Feature Selection (Version 1.2.2)
2019
stream : Infrastructure for Data Stream Mining (Version 2.0-2)
2013
stressor : Algorithms for Testing Models under Stress (Version 0.1.0)
2024
subsemble : An Ensemble Method for Combining Subset-Specific Algorithm Fits (Version 0.1.0)
2014
swag : Sparse Wrapper Algorithm (Version 0.1.0)
2020
tidydann : Add the 'dann' Model and the 'sub_dann' Model to the Tidymodels Ecosystem (Version 1.0.0)
2023
tidypredict : Run Predictions Inside the Database (Version 0.5)
2018
tidyrules : Obtain Rules from Rule Based Models as Tidy Dataframe (Version 0.1.5)
2019
tram : Transformation Models (Version 1.0-3)
2018
tramnet : Penalized Transformation Models (Version 0.0-8)
2020
triplot : Explaining Correlated Features in Machine Learning Models (Version 1.3.0)
2020
varrank : Heuristics Tools Based on Mutual Information for Variable Ranking (Version 0.5)
2018
vip : Variable Importance Plots (Version 0.4.1)
2018
vivo : Variable Importance via Oscillations (Version 0.2.1)
2019
zooimage : Analysis of Numerical Plankton Images (Version 5.5.2)
2013
Showing 1-102 of 102
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.
