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)
2015
VHDClassification : Discrimination/Classification in very high dimension with linear
and quadratic rules. (Version 0.3)
2010
chemmodlab : A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models (Version 2.0.0)
2017
FSinR : Feature Selection (Version 2.0.5)
2019
ensembleR : Ensemble Models in R (Version 0.1.0)
2016
diproperm : Conduct Direction-Projection-Permutation Tests and Display Plots (Version 0.2.0)
2020
soilassessment : Assessment Models for Agriculture Soil Conditions and Crop Suitability (Version 0.2.6)
2019
breakDown : Model Agnostic Explainers for Individual Predictions (Version 0.2.2)
2018
broom : Convert Statistical Objects into Tidy Tibbles (Version 1.0.7)
2014
butcher : Model Butcher (Version 0.3.4)
2019
c2c : Compare Two Classifications or Clustering Solutions of Varying Structure (Version 0.1.0)
2017
malani : Machine Learning Assisted Network Inference (Version 1.0)
2016
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
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 1.0.1)
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 7.1.2)
2018
CEEMDANML : CEEMDAN Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)
2023
CMShiny : Interactive Document for Working with Confusion Matrix (Version 0.1.0)
2019
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 0.2.2)
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 0.2.6)
2022
Deducer : A Data Analysis GUI for R (Version 0.7-9)
2012
DeepLearningCausal : Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)
2024
DemographicTable : Creating Demographic Table (Version 0.1.9)
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 0.9.2)
2021
EnsembleBase : Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling (Version 1.0.2)
2014
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 3.4.8)
2014
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
ISCA : Compare Heterogeneous Social Groups (Version 0.1.0)
2024
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 2.1.1)
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 1.1.6)
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 1.3.1)
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 3.8.0)
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 : 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
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
NeuroDecodeR : Decode Information from Neural Activity (Version 0.2.0)
2022
NeuralSens : Sensitivity Analysis of Neural Networks (Version 1.1.3)
2019
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
OpEnHiMR : Optimization Based Ensemble Model for Prediction of Histone Modifications in Rice (Version 0.1.1)
2024
PASWR : Probability and Statistics with R (Version 1.3)
2008
PASWR2 : Probability and Statistics with R, Second Edition (Version 1.0.5)
2014
PMCMRplus : Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended (Version 1.9.12)
2018
Patterns : Deciphering Biological Networks with Patterned Heterogeneous Measurements (Version 1.5)
2019
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 1.6.0)
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 2.9-5)
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 0.1.9)
2024
RobustPrediction : Robust Tuning and Training for Cross-Source Prediction (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 0.1.6)
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
SimRDS : Simulation of Respondent Driven Samples (Version 2.0.0)
2024
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
TPMplt : Tool-Kit for Dynamic Materials Model and Thermal Processing Maps (Version 0.1.6)
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 1.7-16)
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 1.0.0)
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 1.0.5)
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
caret : Classification and Regression Training (Version 7.0-1)
2007
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 1.1.1)
2018
ceterisParibus : Ceteris Paribus Profiles (Version 0.6)
2018
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 0.3-66)
2004
clusterMI : Cluster Analysis with Missing Values by Multiple Imputation (Version 1.3)
2024
clusterSim : Searching for Optimal Clustering Procedure for a Data Set (Version 0.51-5)
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 1.1-6)
2022
cvms : Cross-Validation for Model Selection (Version 1.6.2)
2019
dPCP : Automated Analysis of Multiplex Digital PCR Data (Version 2.0.1)
2020
dad : Three-Way / Multigroup Data Analysis Through Densities (Version 4.1.5)
2015
daltoolbox : Leveraging Experiment Lines to Data Analytics (Version 1.1.727)
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
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
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 1.5.0)
2022
fasstr : Analyze, Summarize, and Visualize Daily Streamflow Data (Version 0.5.3)
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 0.2.4)
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
ggscidca : Plotting Decision Curve Analysis with Coloured Bars (Version 0.2.3)
2024
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 0.7-0.1)
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 3.1.4)
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 2.2.1)
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
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 1.1.2)
2022
mlr : Machine Learning in R (Version 2.19.2)
2013
mlr3cluster : Cluster Extension for 'mlr3' (Version 0.1.10)
2020
mlr3fselect : Feature Selection for 'mlr3' (Version 1.2.1)
2020
mlr3learners : Recommended Learners for 'mlr3' (Version 0.9.0)
2019
mlr3shiny : Machine Learning in 'shiny' with 'mlr3' (Version 0.3.0)
2020
mlr3tuningspaces : Search Spaces for 'mlr3' (Version 0.5.2)
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 0.2.0)
2023
moreparty : A Toolbox for Conditional Inference Trees and Random Forests (Version 0.4)
2020
movieROC : Visualizing the Decision Rules Underlying Binary Classification (Version 0.1.2)
2024
mpath : Regularized Linear Models (Version 0.4-2.26)
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 0.1.9)
2022
oncrawlR : Machine Learning for S.E.O (Version 0.2.0)
2019
opalr : 'Opal' Data Repository Client and 'DataSHIELD' Utils (Version 3.4.2)
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
paar : Precision Agriculture Data Analysis (Version 1.0.1)
2024
paradox : Define and Work with Parameter Spaces for Complex Algorithms (Version 1.0.1)
2019
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 0.8.2)
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)
2013
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 2.4.6)
2023
pmml : Generate PMML for Various Models (Version 2.5.2)
2007
posterior : Tools for Working with Posterior Distributions (Version 1.6.0)
2021
prediction : Tidy, Type-Safe 'prediction()' Methods (Version 0.3.18)
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 0.29.0)
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 1.6.7)
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 0.1-3)
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 1.4.8)
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 1.1.0)
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 1.1-20)
2004
sharpshootR : A Soil Survey Toolkit (Version 2.3.2)
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 1.5.1)
2022
smacof : Multidimensional Scaling (Version 2.1-7)
2008
spdep : Spatial Dependence: Weighting Schemes, Statistics (Version 1.3-8)
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 1.5-4)
2001
strucchangeRcpp : Testing, Monitoring, and Dating Structural Changes: C++ Version (Version 1.5-4-1.0.0)
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 0.1.2)
2024
tidyfit : Regularized Linear Modeling with Tidy Data (Version 0.7.2)
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 0.1.3)
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 0.1.1)
2020
vivid : Variable Importance and Variable Interaction Displays (Version 0.2.9)
2021
xLLiM : High Dimensional Locally-Linear Mapping (Version 2.3)
2016
Showing 1-357 of 357
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