R Package Scholar
26,508
Referenced by ⇅ Year
activityGCMM: Circular Mixed Effect Mixture Models of Animal Activity Patterns (Version 1.1.1)

2021
bnClustOmics: Bayesian Network-Based Clustering of Multi-Omics Data (Version 1.1.1)

2022
liayson: Linking Singe-Cell Transcriptomes Atween Contemporary Subpopulation Genomes (Version 1.0.5)

2018
MatrixHMM: Parsimonious Families of Hidden Markov Models for Matrix-Variate Longitudinal Data (Version 1.0.0)

2024
MetabolAnalyze: Probabilistic Latent Variable Models for Metabolomic Data (Version 1.3.1)

2010
em: Generic EM Algorithm (Version 1.0.0)

2023
AdaptGauss: Gaussian Mixture Models (GMM) (Version 1.6)

2015
AnimalSequences: Analyse Animal Sequential Behaviour and Communication (Version 0.2.0)

2024
BCClong: Bayesian Consensus Clustering for Multiple Longitudinal Features (Version 1.0.3)

2023
BayesCVI: Bayesian Cluster Validity Index (Version 1.0.1)

2024
Bchron: Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level Rate Estimation, and Non-Parametric Phase Modelling (Version 4.7.6)

2008
BiSEp: Toolkit to Identify Candidate Synthetic Lethality (Version 2.3)

2014
BimodalIndex: The Bimodality Index (Version 1.1.9)

2017
CHMM: Coupled Hidden Markov Models (Version 0.1.1)

2017
CICA: Clusterwise Independent Component Analysis (Version 1.1.1)

2021
CNprep: Pre-Process DNA Copy Number (CN) Data for Detection of CN Events (Version 2.2)

2013
CerioliOutlierDetection: Outlier Detection Using the Iterated RMCD Method of Cerioli (2010) (Version 1.1.15)

2014
ChemoSpec: Exploratory Chemometrics for Spectroscopy (Version 6.1.10)

2011
ClassDiscovery: Classes and Methods for "Class Discovery" with Microarrays or Proteomics (Version 3.4.5)

2017
Cluster.OBeu: Cluster Analysis 'OpenBudgets.eu' (Version 1.2.3)

2018
ContaminatedMixt: Clustering and Classification with the Contaminated Normal (Version 1.3.8)

2015
CrossClustering: A Partial Clustering Algorithm (Version 4.1.2)

2016
DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics (Version 1.2.2)

2020
DR.SC: Joint Dimension Reduction and Spatial Clustering (Version 3.4)

2021
EMMIXgene: A Mixture Model-Based Approach to the Clustering of Microarray Expression Data (Version 0.1.4)

2018
Evacluster: Evaluation Clustering Methods for Disease Subtypes Diagnosis (Version 0.1.0)

2022
FCPS: Fundamental Clustering Problems Suite (Version 1.3.4)

2020
FishResp: Analytical Tool for Aquatic Respirometry (Version 1.1.1)

2017
FitUltD: Fit Univariate Mixed and Usual Distributions (Version 3.1.0)

2019
FourWayHMM: Parsimonious Hidden Markov Models for Four-Way Data (Version 1.0.0)

2021
GridOnClusters: Cluster-Preserving Multivariate Joint Grid Discretization (Version 0.1.0.1)

2020
HDCD: High-Dimensional Changepoint Detection (Version 1.1)

2023
HDoutliers: Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers (Version 1.0.4)

2016
HMMmlselect: Determine the Number of States in Hidden Markov Models via Marginal Likelihood (Version 0.1.6)

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
HyperG: Hypergraphs in R (Version 1.0.0)

2021
ICSClust: Tandem Clustering with Invariant Coordinate Selection (Version 0.1.0)

2023
IMIFA: Infinite Mixtures of Infinite Factor Analysers and Related Models (Version 2.2.0)

2017
IMIX: Gaussian Mixture Model for Multi-Omics Data Integration (Version 1.1.5)

2020
IntNMF: Integrative Clustering of Multiple Genomic Dataset (Version 1.2.0)

2016
KSD: Goodness-of-Fit Tests using Kernelized Stein Discrepancy (Version 1.0.1)

2016
KScorrect: Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Tests (Version 1.4.0)

2016
LMest: Generalized Latent Markov Models (Version 3.2.2)

2012
LOMAR: Localization Microscopy Data Analysis (Version 0.5.0)

2021
LPKsample: LP Nonparametric High Dimensional K-Sample Comparison (Version 2.1)

2017
LUCIDus: LUCID with Multiple Omics Data (Version 3.0.3)

2018
LifeTables: Two-Parameter HMD Model Life Table System (Version 1.0)

2012
LogConcDEAD: Log-Concave Density Estimation in Arbitrary Dimensions (Version 1.6-10)

2007
Luminescence: Comprehensive Luminescence Dating Data Analysis (Version 0.9.25)

2012
MAINT.Data: Model and Analyse Interval Data (Version 2.7.1)

2011
MBCbook: Companion Package for the Book "Model-Based Clustering and Classification for Data Science" (Version 0.1.2)

2019
MSclust: Multiple-Scaled Clustering (Version 1.0.4)

2022
MSclassifR: Automated Classification of Mass Spectra (Version 0.3.3)

2022
MVA: An Introduction to Applied Multivariate Analysis with R (Version 1.0-8)

2011
MixSim: Simulating Data to Study Performance of Clustering Algorithms (Version 1.1-8)

2009
MixtureMissing: Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random (Version 3.0.3)

2021
MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component (Version 1.5.2)

2017
MultIS: Reconstruction of Clones from Integration Site Readouts and Visualization (Version 0.6.2)

2021
OTclust: Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis (Version 1.0.6)

2019
PINSPlus: Clustering Algorithm for Data Integration and Disease Subtyping (Version 2.0.7)

2018
PPbigdata: Projection Pursuit for Big Data Based on Data Nuggets (Version 1.0.0)

2024
PRECAST: Embedding and Clustering with Alignment for Spatial Datasets (Version 1.6.5)

2022
PUGMM: Parsimonious Ultrametric Gaussian Mixture Models (Version 0.1.0)

2024
PredPsych: Predictive Approaches in Psychology (Version 0.4)

2017
ProFAST: Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction (Version 1.4)

2023
QuadratiK: Collection of Methods Constructed using Kernel-Based Quadratic Distances (Version 1.1.1)

2024
RCTS: Clustering Time Series While Resisting Outliers (Version 0.2.4)

2022
REdaS: Companion Package to the Book 'R: Einführung durch angewandte Statistik' (Version 0.9.4)

2014
RGMM: Robust Mixture Model (Version 2.1.0)

2022
RJcluster: A Fast Clustering Algorithm for High Dimensional Data Based on the Gram Matrix Decomposition (Version 3.2.4)

2020
RankAggreg: Weighted Rank Aggregation (Version 0.6.6)

2008
RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames (Version 0.91.6)

2019
SAGMM: Clustering via Stochastic Approximation and Gaussian Mixture Models (Version 0.2.4)

2019
SC.MEB: Spatial Clustering with Hidden Markov Random Field using Empirical Bayes (Version 1.1)

2021
SCORPIUS: Inferring Developmental Chronologies from Single-Cell RNA Sequencing Data (Version 1.0.9)

2018
SIBERG: Systematic Identification of Bimodally Expressed Genes Using RNAseq Data (Version 2.0.3)

2017
SQN: Subset Quantile Normalization (Version 1.0.6)

2011
ScRNAIMM: Performing Single-Cell RNA-Seq Imputation by Using Mean/Median Imputation (Version 0.1)

2023
SenTinMixt: Parsimonious Mixtures of MSEN and MTIN Distributions (Version 1.0.0)

2021
SillyPutty: Silly Putty Clustering (Version 0.4.1)

2023
StatDA: Statistical Analysis for Environmental Data (Version 1.7.11)

2007
TipDatingBeast: Using Tip Dates with Phylogenetic Trees in BEAST (Version 1.1-0)

2015
Umpire: Simulating Realistic Gene Expression and Clinical Data (Version 2.0.10)

2017
UniversalCVI: Hard and Soft Cluster Validity Indices (Version 1.1.2)

2023
UpDown: Detecting Group Disturbances from Longitudinal Observations (Version 1.2.1)

2023
VBLPCM: Variational Bayes Latent Position Cluster Model for Networks (Version 2.4.9)

2011
WACS: Multivariate Weather-State Approach Conditionally Skew-Normal Generator (Version 1.1.0)

2016
andrews: Various Andrews Curves (Version 1.1.2)

2012
autocogs: Automatic Cognostic Summaries (Version 0.1.4)

2018
baggingbwsel: Bagging Bandwidth Selection in Kernel Density and Regression Estimation (Version 1.1)

2021
bayesCureRateModel: Bayesian Cure Rate Modeling for Time-to-Event Data (Version 1.3)

2024
bayestestR: Understand and Describe Bayesian Models and Posterior Distributions (Version 0.15.0)

2019
beadplexr: Analysis of Multiplex Cytometric Bead Assays (Version 0.5.0)

2018
bootcluster: Bootstrapping Estimates of Clustering Stability (Version 0.3.2)

2017
bpgmm: Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models (Version 1.0.9)

2019
broom: Convert Statistical Objects into Tidy Tibbles (Version 1.0.7)

2014
cemco: Fit 'CemCO' Algorithm (Version 0.2)

2020
chemometrics: Multivariate Statistical Analysis in Chemometrics (Version 1.4.4)

2008
clValid: Validation of Clustering Results (Version 0.7)

2007
clap: Detecting Class Overlapping Regions in Multidimensional Data (Version 0.1.0)

2024
clickb: Web Data Analysis by Bayesian Mixture of Markov Models (Version 0.1)

2023
clue: Cluster Ensembles (Version 0.3-65)

2004
clustAnalytics: Cluster Evaluation on Graphs (Version 0.5.5)

2022
clustMD: Model Based Clustering for Mixed Data (Version 1.2.1)

2014
clustTMB: Spatio-Temporal Finite Mixture Model using 'TMB' (Version 0.1.0)

2024
clusterHD: Tools for Clustering High-Dimensional Data (Version 1.0.2)

2022
clusterMI: Cluster Analysis with Missing Values by Multiple Imputation (Version 1.2.2)

2024
clusternomics: Integrative Clustering for Heterogeneous Biomedical Datasets (Version 0.1.1)

2016
clustvarsel: Variable Selection for Gaussian Model-Based Clustering (Version 2.3.4)

2006
coca: Cluster-of-Clusters Analysis (Version 1.1.0)

2020
condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)

2019
cytometree: Automated Cytometry Gating and Annotation (Version 2.0.2)

2017
dCUR: Dimension Reduction with Dynamic CUR (Version 1.0.1)

2020
deepgmm: Deep Gaussian Mixture Models (Version 0.2.1)

2019
diceR: Diverse Cluster Ensemble in R (Version 2.2.0)

2017
do3PCA: Probabilistic Phylogenetic Principal Component Analysis (Version 1.0.0)

2024
drcte: Statistical Approaches for Time-to-Event Data in Agriculture (Version 1.0.30)

2023
dsb: Normalize & Denoise Droplet Single Cell Protein Data (CITE-Seq) (Version 1.0.4)

2021
evclust: Evidential Clustering (Version 2.0.3)

2016
evprof: Electric Vehicle Charging Sessions Profiling and Modelling (Version 1.1.2)

2024
expSBM: An Exponential Stochastic Block Model for Interaction Lengths (Version 1.3.5)

2019
fabMix: Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components (Version 5.1)

2018
factoextra: Extract and Visualize the Results of Multivariate Data Analyses (Version 1.0.7)

2016
fdm2id: Data Mining and R Programming for Beginners (Version 0.9.9)

2019
flexCWM: Flexible Cluster-Weighted Modeling (Version 1.92)

2013
fpc: Flexible Procedures for Clustering (Version 2.2-13)

2003
geocausal: Causal Inference with Spatio-Temporal Data (Version 0.3.2)

2023
hdbayes: Bayesian Analysis of Generalized Linear Models with Historical Data (Version 0.1.1)

2024
iClusterVB: Fast Integrative Clustering and Feature Selection for High Dimensional Data (Version 0.1.2)

2024
immunaut: Machine Learning Immunogenicity and Vaccine Response Analysis (Version 1.0.1)

2024
insight: Easy Access to Model Information for Various Model Objects (Version 0.20.5)

2019
integIRTy: Integrating Multiple Modalities of High Throughput Assays Using Item Response Theory (Version 1.0.7)

2017
klic: Kernel Learning Integrative Clustering (Version 1.0.4)

2020
ks: Kernel Smoothing (Version 1.14.3)

2005
latrend: A Framework for Clustering Longitudinal Data (Version 1.6.1)

2020
linkspotter: Bivariate Correlations Calculation and Visualization (Version 1.3.0)

2018
lnmCluster: Perform Logistic Normal Multinomial Clustering for Microbiome Compositional Data (Version 0.3.1)

2022
manet: Multiple Allocation Model for Actor-Event Networks (Version 2.0)

2017
mclustAddons: Addons for the 'mclust' Package (Version 0.9)

2021
mem: The Moving Epidemic Method (Version 2.18)

2010
mixedLSR: Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data (Version 0.1.0)

2022
mlr3cluster: Cluster Extension for 'mlr3' (Version 0.1.10)

2020
mombf: Model Selection with Bayesian Methods and Information Criteria (Version 3.5.4)

2008
motifcluster: Motif-Based Spectral Clustering of Weighted Directed Networks (Version 0.2.3)

2020
msir: Model-Based Sliced Inverse Regression (Version 1.3.3)

2011
msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden (Version 1.2.0)

2014
mtlgmm: Unsupervised Multi-Task and Transfer Learning on Gaussian Mixture Models (Version 0.1.0)

2022
mulgar: Functions for Pre-Processing Data for Multivariate Data Visualisation using Tours (Version 1.0.2)

2023
norMmix: Direct MLE for Multivariate Normal Mixture Distributions (Version 0.2-0)

2024
npde: Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models (Version 3.5)

2010
oclust: Gaussian Model-Based Clustering with Outliers (Version 0.2.0)

2019
opGMMassessment: Optimized Automated Gaussian Mixture Assessment (Version 0.4)

2021
optimCheck: Graphical and Numerical Checks for Mode-Finding Routines (Version 1.0.1)

2019
otrimle: Robust Model-Based Clustering (Version 2.0)

2016
parameters: Processing of Model Parameters (Version 0.23.0)

2019
performance: Assessment of Regression Models Performance (Version 0.12.4)

2019
pivmet: Pivotal Methods for Bayesian Relabelling and k-Means Clustering (Version 0.6.0)

2018
ppgmmga: Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms (Version 1.3)

2018
prabclus: Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data (Version 2.3-4)

2003
probout: Unsupervised Multivariate Outlier Probabilities for Large Datasets (Version 1.1.2)

2017
robCompositions: Compositional Data Analysis (Version 2.4.1)

2009
robustDA: Robust Mixture Discriminant Analysis (Version 1.2)

2014
robustfa: Object Oriented Solution for Robust Factor Analysis (Version 1.1-0)

2012
rties: Modeling Interpersonal Dynamics (Version 5.0.0)

2020
sBIC: Computing the Singular BIC for Multiple Models (Version 0.2.0)

2016
saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm (Version 3.3)

2011
sasfunclust: Sparse and Smooth Functional Clustering (Version 1.0.0)

2021
scDHA: Single-Cell Decomposition using Hierarchical Autoencoder (Version 1.2.2)

2021
scISR: Single-Cell Imputation using Subspace Regression (Version 0.1.1)

2022
scutr: Balancing Multiclass Datasets for Classification Tasks (Version 0.2.0)

2021
see: Model Visualisation Toolbox for 'easystats' and 'ggplot2' (Version 0.9.0)

2019
sharp: Stability-enHanced Approaches using Resampling Procedures (Version 1.4.6)

2022
shipunov: Miscellaneous Functions from Alexey Shipunov (Version 1.17.1)

2019
sigQC: Quality Control Metrics for Gene Signatures (Version 0.1.24)

2017
sovereign: State-Dependent Empirical Analysis (Version 1.2.1)

2021
spaceNet: Latent Space Models for Multidimensional Networks (Version 1.2)

2018
splinetree: Longitudinal Regression Trees and Forests (Version 0.2.0)

2018
starvz: R-Based Visualization Techniques for Task-Based Applications (Version 0.8.2)

2020
tclust: Robust Trimmed Clustering (Version 2.0-5)

2010
telescope: Bayesian Mixtures with an Unknown Number of Components (Version 0.1-0)

2024
theftdlc: Analyse and Interpret Time Series Features (Version 0.1.2)

2024
tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software (Version 1.1.0)

2018
tidySEM: Tidy Structural Equation Modeling (Version 0.2.7)

2020
tsrobprep: Robust Preprocessing of Time Series Data (Version 0.3.2)

2020
varclust: Variables Clustering (Version 0.9.4)

2019
vimpclust: Variable Importance in Clustering (Version 0.1.0)

2021
vscc: Variable Selection for Clustering and Classification (Version 0.7)

2013
wevid: Quantifying Performance of a Binary Classifier Through Weight of Evidence (Version 0.6.2)

2018

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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