Referenced by ⇅
Year
Biocomb : Feature Selection and Classification with the Embedded
Validation Procedures for Biomedical Data Analysis (Version 0.4)
2015
crtests : Classification and Regression Tests (Version 0.2.1)
2016
DrugClust : Implementation of a Machine Learning Framework for Predicting
Drugs Side Effects (Version 0.2)
2016
feamiR : Classification and Feature Selection for microRNA/mRNA
Interactions (Version 0.1.0)
2021
healthcareai : Tools for Healthcare Machine Learning (Version 2.5.1)
2017
hybridEnsemble : Build, Deploy and Evaluate Hybrid Ensembles (Version 1.7.9)
2013
liayson : Linking Singe-Cell Transcriptomes Atween Contemporary
Subpopulation Genomes (Version 1.0.5)
2018
mfe : Meta-Feature Extractor (Version 0.1.5)
2017
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
osmplotr : Bespoke Images of "OpenStreetMap" Data (Version 0.3.3)
2016
pacviz : Pac-Man Visualization Package (Version 1.0.3)
2021
pguIMP : "pguIMP" (Version 0.0.0.3)
2021
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
SwarmSVM : Ensemble Learning Algorithms Based on Support Vector Machines (Version 0.1-7)
2016
VHDClassification : Discrimination/Classification in very high dimension with linear
and quadratic rules. (Version 0.3)
2010
A3 : Accurate, Adaptable, and Accessible Error Metrics for Predictive Models (Version 1.0.0)
2013
ADAPTS : Automated Deconvolution Augmentation of Profiles for Tissue Specific Cells (Version 1.0.22)
2019
AdaSampling : Adaptive Sampling for Positive Unlabeled and Label Noise Learning (Version 1.3)
2018
AriGaMyANNSVR : Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models (Version 0.1.0)
2023
AutoPlots : Creating Echarts Visualizations as Easy as Possible (Version 1.0.0)
2024
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
BSDA : Basic Statistics and Data Analysis (Version 1.2.2)
2006
BWGS : BreedWheat Genomic Selection Pipeline (Version 0.2.1)
2020
BayesCVI : Bayesian Cluster Validity Index (Version 1.0.0)
2024
BayesLCA : Bayesian Latent Class Analysis (Version 1.9)
2012
BiodiversityR : Package for Community Ecology and Suitability Analysis (Version 2.16-1)
2007
BoutrosLab.plotting.general : Functions to Create Publication-Quality Plots (Version 7.1.0)
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
CNPS : Nonparametric Statistics (Version 1.0.0)
2021
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
ClueR : Cluster Evaluation (Version 1.4.2)
2015
ClustAssess : Tools for Assessing Clustering (Version 0.3.0)
2021
CompositionalML : Machine Learning with Compositional Data (Version 1.0)
2024
ConfusionTableR : Confusion Matrix Toolset (Version 1.0.4)
2021
DPpack : Differentially Private Statistical Analysis and Machine Learning (Version 0.1.0)
2022
DSWE : Data Science for Wind Energy (Version 1.8.2)
2021
DTWBI : Imputation of Time Series Based on Dynamic Time Warping (Version 1.1)
2018
DTWUMI : Imputation of Multivariate Time Series Based on Dynamic Time Warping (Version 1.0)
2018
DWLS : Gene Expression Deconvolution Using Dampened Weighted Least Squares (Version 0.1.0)
2022
DanielBiostatistics10th : Functions for Wayne W. Daniel's Biostatistics, Tenth Edition (Version 0.2.1)
2022
Deducer : A Data Analysis GUI for R (Version 0.7-9)
2012
DemographicTable : Creating Demographic Table (Version 0.1.7)
2022
DescribeDF : Description of a Data Frame (Version 0.2.1)
2023
ECoL : Complexity Measures for Supervised Problems (Version 0.3.0)
2018
EEMDSVR : Ensemble Empirical Mode Decomposition and Its Variant Based Support Vector Regression Model (Version 0.1.0)
2021
EMDSVRhybrid : Empirical Mode Decomposition Based Support Vector Regression Model (Version 0.2.0)
2021
EZtune : Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines (Version 3.1.1)
2018
EcotoneFinder : Characterising and Locating Ecotones and Communities (Version 0.2.3)
2020
Ecume : Equality of 2 (or k) Continuous Univariate and Multivariate Distributions (Version 0.9.1)
2021
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
EventDetectR : Event Detection Framework (Version 0.3.5)
2018
ExplainPrediction : Explanation of Predictions for Classification and Regression Models (Version 1.3.0)
2015
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 3.4.7)
2014
FSinR : Feature Selection (Version 2.0.5)
2019
FWRGB : Fresh Weight Determination from Visual Image of the Plant (Version 0.1.0)
2021
FastImputation : Learn from Training Data then Quickly Fill in Missing Data (Version 2.2.1)
2012
FeatureTerminatoR : Feature Selection Engine to Remove Features with Minimal Predictive Power (Version 1.0.0)
2021
FinTS : Companion to Tsay (2005) Analysis of Financial Time Series (Version 0.4-9)
2007
FuzzyClass : Fuzzy and Non-Fuzzy Classifiers (Version 0.1.6)
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
GHap : Genome-Wide Haplotyping (Version 3.0.0)
2016
GMDH2 : Binary Classification via GMDH-Type Neural Network Algorithms (Version 1.8)
2018
GROAN : Genomic Regression Workbench (Version 1.3.1)
2017
GSA.UN : Global Sensitivity Analysis Tool (Version 1.0.0)
2020
GameTheoryAllocation : Tools for Calculating Allocations in Game Theory (Version 1.0)
2016
GenericML : Generic Machine Learning Inference (Version 0.2.2)
2021
IGST : Informative Gene Selection Tool (Version 0.1.0)
2020
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
Inventorymodel : Inventory Models (Version 1.1.0.1)
2017
Irescale : Calculate and Rectify Moran's I (Version 2.3.0)
2019
KCSNBShiny : Naive Bayes Classifier (Version 0.1.0)
2019
KNNShiny : Interactive Document for Working with KNN Analysis (Version 0.1.0)
2019
LOST : Missing Morphometric Data Simulation and Estimation (Version 2.0.2)
2012
LilRhino : For Implementation of Feed Reduction, Learning Examples, NLP and Code Management (Version 1.2.2)
2019
LncFinder : LncRNA Identification and Analysis Using Heterologous Features (Version 1.1.5)
2017
MARSSVRhybrid : MARS SVR Hybrid (Version 0.1.0)
2021
MBMethPred : Medulloblastoma Subgroups Prediction (Version 0.1.4.2)
2022
MEclustnet : Fit the Mixture of Experts Latent Position Cluster Model to Network Data (Version 1.2.2)
2016
MIAmaxent : A Modular, Integrated Approach to Maximum Entropy Distribution Modeling (Version 1.2.0)
2016
MLmetrics : Machine Learning Evaluation Metrics (Version 1.1.3)
2015
MMD : Minimal Multilocus Distance (MMD) for Source Attribution and Loci Selection (Version 1.0.0)
2021
MNLR : Interactive Shiny Presentation for Working with Multinomial Logistic Regression (Version 0.1.0)
2019
MSclassifR : Automated Classification of Mass Spectra (Version 0.3.3)
2022
MSiP : 'MassSpectrometry' Interaction Prediction (Version 1.3.7)
2021
MTPS : Multi-Task Prediction using Stacking Algorithms (Version 1.0.2)
2020
MaOEA : Many Objective Evolutionary Algorithm (Version 0.6.2)
2019
MachineShop : Machine Learning Models and Tools (Version 3.7.0)
2018
MetaLandSim : Landscape and Range Expansion Simulation (Version 2.0.0)
2014
MetabolomicsBasics : Basic Functions to Investigate Metabolomics Data Matrices (Version 1.4.5)
2018
MixGHD : Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions (Version 2.3.7)
2014
ModTools : Tools for Building Regression and Classification Models (Version 0.9.6)
2021
Modeler : Classes and Methods for Training and Using Binary Prediction Models (Version 3.4.5)
2017
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
NHSRdatasets : NHS and Healthcare-Related Data for Education and Training (Version 0.3.0)
2019
NeuralSens : Sensitivity Analysis of Neural Networks (Version 1.1.2)
2019
NeuroDecodeR : Decode Information from Neural Activity (Version 0.2.0)
2022
NicheBarcoding : Niche-model-Based Species Identification (Version 1.0)
2021
NonProbEst : Estimation in Nonprobability Sampling (Version 0.2.4)
2019
ORION : Ordinal Relations (Version 1.0.3)
2020
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
PASWR : Probability and Statistics with R (Version 1.3)
2008
PASWR2 : Probability and Statistics with R, Second Edition (Version 1.0.5)
2016
PMCMRplus : Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended (Version 1.9.10)
2018
PheCAP : High-Throughput Phenotyping with EHR using a Common Automated Pipeline (Version 1.2.1)
2020
PhysicalActivity : Process Accelerometer Data for Physical Activity Measurement (Version 0.2-4)
2010
PosteriorBootstrap : Non-Parametric Sampling with Parallel Monte Carlo (Version 0.1.2)
2019
PredCRG : Computational Prediction of Proteins Encoded by Circadian Genes (Version 1.0.2)
2020
PredPsych : Predictive Approaches in Psychology (Version 0.4)
2017
RAMClustR : Mass Spectrometry Metabolomics Feature Clustering and Interpretation (Version 1.3.1)
2019
RMaCzek : Czekanowski's Diagrams (Version 1.5.1)
2019
RMediation : Mediation Analysis Confidence Intervals (Version 1.2.2)
2011
RSDA : R to Symbolic Data Analysis (Version 3.2.1)
2013
RStoolbox : Remote Sensing Data Analysis (Version 1.0.0)
2015
RTIGER : HMM-Based Model for Genotyping and Cross-Over Identification (Version 2.1.0)
2021
RTextTools : Automatic Text Classification via Supervised Learning (Version 1.4.3)
2011
RWeka : R/Weka Interface (Version 0.4-46)
2006
RaSEn : Random Subspace Ensemble Classification and Variable Screening (Version 3.0.0)
2020
RandPro : Random Projection with Classification (Version 0.2.2)
2017
RclusTool : Graphical Toolbox for Clustering and Classification of Data Frames (Version 0.91.6)
2019
RcmdrMisc : R Commander Miscellaneous Functions (Version 2.9-1)
2014
Rcmdr : R Commander (Version 2.9-2)
2003
RcmdrPlugin.NMBU : R Commander Plug-in for University Level Applied Statistics (Version 1.8.15)
2014
RcmdrPlugin.TeachStat : R Commander Plugin for Teaching Statistical Methods (Version 1.1.3)
2018
RecordLinkage : Record Linkage Functions for Linking and Deduplicating Data Sets (Version 0.4-12.4)
2010
ReporterScore : Generalized Reporter Score-Based Enrichment Analysis for Omics Data (Version 0.1.4)
2024
Rtropical : Data Analysis Tools over Space of Phylogenetic Trees Using Tropical Geometry (Version 1.2.1)
2021
SLEMI : Statistical Learning Based Estimation of Mutual Information (Version 1.0.2)
2019
SMDIC : Identification of Somatic Mutation-Driven Immune Cells (Version 0.1.5)
2020
SPUTNIK : Spatially Automatic Denoising for Imaging Mass Spectrometry Toolkit (Version 1.4.2)
2018
SSDM : Stacked Species Distribution Modelling (Version 0.2.9)
2016
SSLR : Semi-Supervised Classification, Regression and Clustering Methods (Version 0.9.3.3)
2020
STFTS : Statistical Tests for Functional Time Series (Version 0.1.0)
2021
SixSigma : Six Sigma Tools for Quality Control and Improvement (Version 0.11.1)
2011
StatDA : Statistical Analysis for Environmental Data (Version 1.7.11)
2007
SuperLearner : Super Learner Prediction (Version 2.0-29)
2011
TOmicsVis : Transcriptome Visualization Process Scheme (Version 2.0.0)
2023
TPMplt : Tool-Kit for Dynamic Materials Model and Thermal Processing Maps (Version 0.1.4)
2018
TSGS : Trait Specific Gene Selection using SVM and GA (Version 1.0)
2021
TSPred : Functions for Benchmarking Time Series Prediction (Version 5.1)
2015
TSSVM : Time Series Forecasting using SVM Model (Version 0.1.0)
2022
TTAinterfaceTrendAnalysis : Temporal Trend Analysis Graphical Interface (Version 1.5.10)
2012
TestsSymmetry : Tests for Symmetry when the Center of Symmetry is Unknown (Version 1.0.0)
2024
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
UniversalCVI : Hard and Soft Cluster Validity Indices (Version 1.1.2)
2023
VFS : Vegetated Filter Strip and Erosion Model (Version 1.0.2)
2018
VIM : Visualization and Imputation of Missing Values (Version 6.2.2)
2012
VMDML : Variational Mode Decomposition Based Machine Learning Models (Version 0.1.1)
2022
WaveletML : Wavelet Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)
2023
WaveletSVR : Wavelet-SVR Hybrid Model for Time Series Forecasting (Version 0.1.0)
2022
WeibullFit : Fits and Plots a Dataset to the Weibull Probability Distribution Function (Version 0.1.0)
2019
WeightSVM : Subject Weighted Support Vector Machines (Version 1.7-13)
2020
ZetaSuite : Analyze High-Dimensional High-Throughput Dataset and Quality Control Single-Cell RNA-Seq (Version 1.0.1)
2022
aRtsy : Generative Art with 'ggplot2' (Version 0.2.4)
2021
aVirtualTwins : Adaptation of Virtual Twins Method from Jared Foster (Version 1.0.1)
2016
ampir : Predict Antimicrobial Peptides (Version 1.1.0)
2019
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
autoMrP : Improving MrP with Ensemble Learning (Version 1.0.6)
2021
aweSOM : Interactive Self-Organizing Maps (Version 1.3)
2021
bark : Bayesian Additive Regression Kernels (Version 1.0.4)
2008
batchtools : Tools for Computation on Batch Systems (Version 0.9.17)
2016
bayesrules : Datasets and Supplemental Functions from Bayes Rules! Book (Version 0.0.2)
2021
bindata : Generation of Artificial Binary Data (Version 0.9-21)
1999
bios2mds : From Biological Sequences to Multidimensional Scaling (Version 1.2.3)
2011
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 1.0.5)
2014
butcher : Model Butcher (Version 0.3.4)
2019
c2c : Compare Two Classifications or Clustering Solutions of Varying Structure (Version 0.1.0)
2017
caret : Classification and Regression Training (Version 6.0-94)
2007
caretEnsemble : Ensembles of Caret Models (Version 2.0.3)
2015
catdata : Categorical Data (Version 1.2.4)
2012
cati : Community Assembly by Traits: Individuals and Beyond (Version 0.99.4)
2014
causalweight : Estimation Methods for Causal Inference Based on Inverse Probability Weighting (Version 1.1.0)
2018
ceterisParibus : Ceteris Paribus Profiles (Version 0.4.2)
2018
chemmodlab : A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models (Version 2.0.0)
2017
chemometrics : Multivariate Statistical Analysis in Chemometrics (Version 1.4.4)
2008
classInt : Choose Univariate Class Intervals (Version 0.4-10)
2006
classifly : Explore Classification Models in High Dimensions (Version 0.4.1)
2006
classmap : Visualizing Classification Results (Version 1.2.3)
2021
clue : Cluster Ensembles (Version 0.3-65)
2004
clusterMI : Cluster Analysis with Missing Values by Multiple Imputation (Version 1.0.0)
2024
clusterSim : Searching for Optimal Clustering Procedure for a Data Set (Version 0.51-3)
2007
coin : Conditional Inference Procedures in a Permutation Test Framework (Version 1.4-3)
2005
condvis2 : Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)
2019
conformalpvalue : Computes Conformal p-Values (Version 0.1.0)
2023
cpfa : Classification with Parallel Factor Analysis (Version 1.1-4)
2022
cvms : Cross-Validation for Model Selection (Version 1.6.1)
2019
dPCP : Automated Analysis of Multiplex Digital PCR Data (Version 2.0.1)
2020
dad : Three-Way / Multigroup Data Analysis Through Densities (Version 4.1.2)
2015
daltoolbox : Leveraging Experiment Lines to Data Analytics (Version 1.0.767)
2023
dfmirroR : Simulate a Data Frame Mirroring an Input and Produce Shareable Simulation Code (Version 2.1.0)
2024
diceR : Diverse Cluster Ensemble in R (Version 2.2.0)
2017
diproperm : Conduct Direction-Projection-Permutation Tests and Display Plots (Version 0.2.0)
2020
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
ensembleR : Ensemble Models in R (Version 0.1.0)
2016
evalITR : Evaluating Individualized Treatment Rules (Version 1.0.0)
2020
ezplot : Functions for Common Chart Types (Version 0.7.13)
2019
fMRIscrub : Scrubbing and Other Data Cleaning Routines for fMRI (Version 0.14.5)
2021
fairness : Algorithmic Fairness Metrics (Version 1.2.2)
2019
familiar : End-to-End Automated Machine Learning and Model Evaluation (Version 1.4.6)
2022
fasstr : Analyze, Summarize, and Visualize Daily Streamflow Data (Version 0.5.2)
2020
fdm2id : Data Mining and R Programming for Beginners (Version 0.9.9)
2019
fitur : Fit Univariate Distributions (Version 0.6.2)
2017
flacco : Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems (Version 1.8)
2015
flip : Multivariate Permutation Tests (Version 2.5.0)
2011
flowml : A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)
2023
fmf : Fast Class Noise Detector with Multi-Factor-Based Learning (Version 1.1.1)
2020
frbs : Fuzzy Rule-Based Systems for Classification and Regression Tasks (Version 3.2-0)
2012
frechet : Statistical Analysis for Random Objects and Non-Euclidean Data (Version 0.3.0)
2020
fromo : Fast Robust Moments (Version 0.2.1)
2016
fscaret : Automated Feature Selection from 'caret' (Version 0.9.4.4)
2013
fsr : Handling Fuzzy Spatial Data (Version 2.0.1)
2021
ftsa : Functional Time Series Analysis (Version 6.4)
2009
geodiv : Methods for Calculating Gradient Surface Metrics (Version 1.1.0)
2020
geomod : A Computer Program for Geotechnical Investigations (Version 0.1.0)
2023
gld : Estimation and Use of the Generalised (Tukey) Lambda Distribution (Version 2.6.6)
2000
hda : Heteroscedastic Discriminant Analysis (Version 0.2-14)
2010
hydroTSM : Time Series Management and Analysis for Hydrological Modelling (Version 0.7-0)
2010
hyperoverlap : Overlap Detection in n-Dimensional Space (Version 1.1.1)
2020
hypervolume : High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls (Version 3.1.3)
2013
iBreakDown : Model Agnostic Instance Level Variable Attributions (Version 2.1.2)
2019
iml : Interpretable Machine Learning (Version 0.11.3)
2018
klaR : Classification and Visualization (Version 1.7-3)
2004
languageR : Analyzing Linguistic Data: A Practical Introduction to Statistics (Version 1.5.0)
2007
less : Learning with Subset Stacking (Version 0.1.0)
2022
lfl : Linguistic Fuzzy Logic (Version 2.2.0)
2015
live : Local Interpretable (Model-Agnostic) Visual Explanations (Version 1.5.13)
2018
m2b : Movement to Behaviour Inference using Random Forest (Version 1.0)
2017
malani : Machine Learning Assisted Network Inference (Version 1.0)
2016
manymodelr : Build and Tune Several Models (Version 0.3.7)
2019
maskRangeR : Mask Species Geographic Ranges (Version 1.1)
2021
mcca : Multi-Category Classification Accuracy (Version 0.7.0)
2017
metaEnsembleR : Automated Intuitive Package for Meta-Ensemble Learning (Version 0.1.0)
2020
mikropml : User-Friendly R Package for Supervised Machine Learning Pipelines (Version 1.6.1)
2020
mildsvm : Multiple-Instance Learning with Support Vector Machines (Version 0.4.0)
2022
mispr : Multiple Imputation with Sequential Penalized Regression (Version 1.0.0)
2018
misspi : Missing Value Imputation in Parallel (Version 0.1.0)
2023
mistral : Methods in Structural Reliability (Version 2.2.2)
2013
mixAR : Mixture Autoregressive Models (Version 0.22.8)
2020
mldr.resampling : Resampling Algorithms for Multi-Label Datasets (Version 0.2.3)
2023
mlearning : Machine Learning Algorithms with Unified Interface and Confusion Matrices (Version 1.2.1)
2013
mlmts : Machine Learning Algorithms for Multivariate Time Series (Version 1.1.1)
2022
mlr : Machine Learning in R (Version 2.19.1)
2013
mlr3cluster : Cluster Extension for 'mlr3' (Version 0.1.9)
2020
mlr3fselect : Feature Selection for 'mlr3' (Version 0.12.0)
2020
mlr3learners : Recommended Learners for 'mlr3' (Version 0.6.0)
2019
mlr3shiny : Machine Learning in 'shiny' with 'mlr3' (Version 0.3.0)
2020
mlr3tuningspaces : Search Spaces for 'mlr3' (Version 0.5.0)
2021
mlrCPO : Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)
2018
mmb : Arbitrary Dependency Mixed Multivariate Bayesian Models (Version 0.13.3)
2020
mmibain : Bayesian Informative Hypotheses Evaluation Web Applications (Version 0.1.1)
2023
moreparty : A Toolbox for Conditional Inference Trees and Random Forests (Version 0.4)
2020
movieROC : Visualizing the Decision Rules Underlying Binary Classification (Version 0.1.0)
2024
mpath : Regularized Linear Models (Version 0.4-2.25)
2014
mt : Metabolomics Data Analysis Toolbox (Version 2.0-1.20)
2021
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
negligible : A Collection of Functions for Negligible Effect/Equivalence Testing (Version 0.1.6)
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
noisemodel : Noise Models for Classification Datasets (Version 1.0.2)
2022
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
oncrawlR : Machine Learning for S.E.O (Version 0.2.0)
2019
opalr : 'Opal' Data Repository Client and 'DataSHIELD' Utils (Version 3.4.1)
2019
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
partools : Tools for the 'Parallel' Package (Version 1.1.6)
2015
pathwayTMB : Pathway Based Tumor Mutational Burden (Version 0.1.3)
2021
pdp : Partial Dependence Plots (Version 0.8.1)
2016
penalizedSVM : Feature Selection SVM using Penalty Functions (Version 1.1.4)
2009
performanceEstimation : An Infra-Structure for Performance Estimation of Predictive Models (Version 1.1.0)
2014
pheble : Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)
2023
pmartR : Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data (Version 2.4.4)
2023
pmml : Generate PMML for Various Models (Version 2.5.2)
2007
posterior : Tools for Working with Posterior Distributions (Version 1.5.0)
2021
prediction : Tidy, Type-Safe 'prediction()' Methods (Version 0.3.17)
2016
predkmeans : Covariate Adaptive Clustering (Version 0.1.1)
2017
psBayesborrow : Bayesian Information Borrowing with Propensity Score Matching (Version 1.1.0)
2024
purgeR : Inbreeding-Purging Estimation in Pedigreed Populations (Version 1.8.2)
2021
pvar : Calculation and Application of p-Variation (Version 2.2.7)
2012
qeML : Quick and Easy Machine Learning Tools (Version 1.1)
2023
r2pmml : Convert R Models to PMML (Version 0.27.1)
2019
rADA : Statistical Analysis and Cut-Point Determination of Immunoassays (Version 1.1.9)
2021
radiant.model : Model Menu for Radiant: Business Analytics using R and Shiny (Version 1.6.3)
2016
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
rchemo : Dimension Reduction, Regression and Discrimination for Chemometrics (Version 0.1-1)
2023
rgnoisefilt : Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.2)
2023
rminer : Data Mining Classification and Regression Methods (Version 1.4.6)
2011
robCompositions : Compositional Data Analysis (Version 2.4.1)
2009
sambia : A Collection of Techniques Correcting for Sample Selection Bias (Version 0.1.0)
2018
scorecardModelUtils : Credit Scorecard Modelling Utils (Version 0.0.1.0)
2018
sdcMicro : Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation (Version 5.7.8)
2007
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
sfsmisc : Utilities from 'Seminar fuer Statistik' ETH Zurich (Version 1.1-18)
2004
sharpshootR : A Soil Survey Toolkit (Version 2.3)
2014
shattering : Estimate the Shattering Coefficient for a Particular Dataset (Version 1.0.7)
2020
shipunov : Miscellaneous Functions from Alexey Shipunov (Version 1.17.1)
2019
simPop : Simulation of Complex Synthetic Data Information (Version 2.1.3)
2014
simglm : Simulate Models Based on the Generalized Linear Model (Version 0.8.9)
2017
sits : Satellite Image Time Series Analysis for Earth Observation Data Cubes (Version 1.4.2-1)
2022
smacof : Multidimensional Scaling (Version 2.1-6)
2008
soilassessment : Assessment Models for Agriculture Soil Conditions and Crop Suitability (Version 0.2.6)
2019
spdep : Spatial Dependence: Weighting Schemes, Statistics (Version 1.3-3)
2002
spm2 : Spatial Predictive Modeling (Version 1.1.3)
2021
ssc : Semi-Supervised Classification Methods (Version 2.1-0)
2016
ssr : Semi-Supervised Regression Methods (Version 0.1.1)
2019
sssc : Same Species Sample Contamination Detection (Version 1.0.0)
2018
stablelearner : Stability Assessment of Statistical Learning Methods (Version 0.1-5)
2018
strip : Lighten your R Model Outputs (Version 1.0.0)
2017
strucchange : Testing, Monitoring, and Dating Structural Changes (Version 1.5-3)
2001
strucchangeRcpp : Testing, Monitoring, and Dating Structural Changes: C++ Version (Version 1.5-3-1.0.4)
2021
stylo : Stylometric Multivariate Analyses (Version 0.7.5)
2013
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
swag : Sparse Wrapper Algorithm (Version 0.1.0)
2020
symbolicDA : Analysis of Symbolic Data (Version 0.7-1)
2013
tableone : Create 'Table 1' to Describe Baseline Characteristics with or without Propensity Score Weights (Version 0.13.2)
2014
theftdlc : Analyse and Interpret Time Series Features (Version 0.1.0)
2024
tidyfit : Regularized Linear Modeling with Tidy Data (Version 0.7.1)
2022
traineR : Predictive (Classification and Regression) Models Homologator (Version 2.2.0)
2019
traitstrap : Bootstrap Trait Values to Calculate Moments (Version 0.1.0)
2023
trajmsm : Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories (Version 0.1.0)
2024
utiml : Utilities for Multi-Label Learning (Version 0.1.7)
2016
vaccine : Statistical Tools for Immune Correlates Analysis of Vaccine Clinical Trial Data (Version 1.2.1)
2023
vanquish : Variant Quality Investigation Helper (Version 1.0.0)
2018
varrank : Heuristics Tools Based on Mutual Information for Variable Ranking (Version 0.5)
2018
visaOTR : Valid Improved Sparsity A-Learning for Optimal Treatment Decision (Version 0.1.0)
2022
visualpred : Visualization 2D of Binary Classification Models (Version 0.1.0)
2020
vivid : Variable Importance and Variable Interaction Displays (Version 0.2.8)
2021
xLLiM : High Dimensional Locally-Linear Mapping (Version 2.3)
2016
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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.
