corrplot: Visualization of a Correlation Matrix

Canonical link: https://rscholar.com/pkg/corrplot

Taiyun Wei • Viliam Simko • Michael Levy • Yihui Xie • Yan Jin • Jeff Zemla • Moritz Freidank • Jun Cai • Tomas Protivinsky • View description and downloads View dependencies GitHub project

2010 Published

0.95 Version

0 Citations

9 Authors

Referenced by ⇅	Year
bioOED: Sensitivity Analysis and Optimum Experiment Design for Microbial Inactivation (Version 0.2.1)	2017
eechidna: Exploring Election and Census Highly Informative Data Nationally for Australia (Version 1.4.1)	2016
GmAMisc: "Gianmarco Alberti" Miscellaneous (Version 1.2.1)	2018
shinyr: Data Insights Through Inbuilt R Shiny App (Version 0.3.0)	2020
gremes: Estimation of Tail Dependence in Graphical Models (Version 0.1.1)	2021
LDLcalc: Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)	2021
insectDisease: Ecological Database of the World's Insect Pathogens (Version 1.2.2)	2022
bayesGAM: Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo (Version 0.0.2)	2020
BNSP: Bayesian Non- And Semi-Parametric Model Fitting (Version 2.2.3)	2014
BasketballAnalyzeR: Analysis and Visualization of Basketball Data (Version 0.5.0)	2020
CINNA: Deciphering Central Informative Nodes in Network Analysis (Version 1.2.2)	2017
ClustImpute: K-Means Clustering with Build-in Missing Data Imputation (Version 0.2.4)	2019
Correlplot: A Collection of Functions for Graphing Correlation Matrices (Version 1.1.0)	2013
DGP4LCF: Dependent Gaussian Processes for Longitudinal Correlated Factors (Version 1.0.0)	2024
DisaggregateTS: High-Dimensional Temporal Disaggregation (Version 3.0.1)	2022
EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice (Version 2.1.0)	2024
EcotoneFinder: Characterising and Locating Ecotones and Communities (Version 0.2.3)	2020
ExPanDaR: Explore Your Data Interactively (Version 0.5.3)	2018
FRESA.CAD: Feature Selection Algorithms for Computer Aided Diagnosis (Version 3.4.8)	2014
GGMncv: Gaussian Graphical Models with Nonconvex Regularization (Version 2.1.1)	2020
GoodmanKruskal: Association Analysis for Categorical Variables (Version 0.0.3)	2016
HTLR: Bayesian Logistic Regression with Heavy-Tailed Priors (Version 0.4-4)	2019
HVT: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis (Version 24.9.1)	2023
Hmsc: Hierarchical Model of Species Communities (Version 3.0-13)	2019
ModelMap: Modeling and Map Production using Random Forest and Related Stochastic Models (Version 3.4.0.4)	2009
MultiTraits: Analyzing and Visualizing Multidimensional Plant Traits (Version 0.2.0)	2024
MultivariateAnalysis: Pacote Para Analise Multivariada (Version 0.5.0)	2021
NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis (Version 1.4.2)	2017
PLNmodels: Poisson Lognormal Models (Version 1.2.0)	2019
Path.Analysis: Path Coefficient Analysis (Version 0.1)	2024
PsychWordVec: Word Embedding Research Framework for Psychological Science (Version 2023.9)	2022
RQdeltaCT: Relative Quantification of Gene Expression using Delta Ct Methods (Version 1.3.0)	2024
RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames (Version 0.91.6)	2019
Rprofet: WOE Transformation and Scorecard Builder (Version 3.1.1)	2018
SLEMI: Statistical Learning Based Estimation of Mutual Information (Version 1.0.2)	2019
Statsomat: Shiny Apps for Automated Data Analysis and Automated Interpretation (Version 1.1.0)	2021
TestDimorph: Analysis of the Interpopulation Difference in Degree of Sexual Dimorphism Using Summary Statistics (Version 0.5.8)	2019
VisCollin: Visualizing Collinearity Diagnostics (Version 0.1.2)	2023
adproclus: Additive Profile Clustering Algorithms (Version 2.0.0)	2023
aslib: Interface to the Algorithm Selection Benchmark Library (Version 0.1.2)	2016
autoScorecard: Fully Automatic Generation of Scorecards (Version 0.3.0)	2023
bakR: Analyze and Compare Nucleotide Recoding RNA Sequencing Datasets (Version 1.0.1)	2022
bigtime: Sparse Estimation of Large Time Series Models (Version 0.2.3)	2017
boral: Bayesian Ordination and Regression AnaLysis (Version 2.0.2)	2014
brsim: Brainerd-Robinson Similarity Coefficient Matrix (Version 0.3)	2023
bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores (Version 0.1.0)	2024
candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis (Version 0.9.0)	2008
cases: Stratified Evaluation of Subgroup Classification Accuracy (Version 0.1.1)	2023
coda4microbiome: Compositional Data Analysis for Microbiome Studies (Version 0.2.4)	2022
colourvision: Colour Vision Models (Version 2.0.4)	2016
ctmva: Continuous-Time Multivariate Analysis (Version 1.4.0)	2022
dendextend: Extending 'dendrogram' Functionality in R (Version 1.19.0)	2014
drought: Statistical Modeling and Assessment of Drought (Version 1.2)	2020
dynRB: Dynamic Range Boxes (Version 0.18)	2015
echarts4r: Create Interactive Graphs with 'Echarts JavaScript' Version 5 (Version 0.4.5)	2018
ecostats: Code and Data Accompanying the Eco-Stats Text (Warton 2022) (Version 1.2.1)	2020
fabMix: Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components (Version 5.1)	2018
facmodCS: Cross-Section Factor Models (Version 1.0)	2023
facmodTS: Time Series Factor Models for Asset Returns (Version 1.0)	2023
factorstochvol: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models (Version 1.1.0)	2016
frechet: Statistical Analysis for Random Objects and Non-Euclidean Data (Version 0.3.0)	2020
ggbiplot: A Grammar of Graphics Implementation of Biplots (Version 0.6.2)	2023
gllvm: Generalized Linear Latent Variable Models (Version 2.0)	2017
grapesAgri1: Collection of Shiny Apps for Agricultural Research Data Analysis (Version 1.1.0)	2021
jSDM: Joint Species Distribution Models (Version 0.2.6)	2019
kergp: Gaussian Process Laboratory (Version 0.5.8)	2015
knitrBootstrap: 'knitr' Bootstrap Framework (Version 1.0.3)	2013
ldsep: Linkage Disequilibrium Shrinkage Estimation for Polyploids (Version 2.1.5)	2020
mashr: Multivariate Adaptive Shrinkage (Version 0.2.79)	2020
mastif: Mast Inference and Forecasting (Version 2.3)	2019
metaGE: Meta-Analysis for Detecting Genotype x Environment Associations (Version 1.1.0)	2023
miceRanger: Multiple Imputation by Chained Equations with Random Forests (Version 1.5.0)	2020
missSBM: Handling Missing Data in Stochastic Block Models (Version 1.0.4)	2019
mixKernel: Omics Data Integration Using Kernel Methods (Version 0.9-1)	2017
multiocc: Fits Multivariate Spatio-Temporal Occupancy Model (Version 0.2.1)	2022
patterncausality: Pattern Causality Algorithm (Version 0.1.3)	2024
popstudy: Applied Techniques to Demographic and Time Series Analysis (Version 1.0.1)	2022
rQSAR: QSAR Modeling with Multiple Algorithms: MLR, PLS, and Random Forest (Version 1.0.0)	2024
rattle: Graphical User Interface for Data Science in R (Version 5.5.1)	2013
rmcorr: Repeated Measures Correlation (Version 0.7.0)	2016
rstatix: Pipe-Friendly Framework for Basic Statistical Tests (Version 0.7.2)	2019
sageR: Applied Statistics for Economics and Management with R (Version 0.6.1)	2021
scRNAtools: Single Cell RNA Sequencing Data Analysis Tools (Version 1.0)	2018
spectralGraphTopology: Learning Graphs from Data via Spectral Constraints (Version 0.2.3)	2019
textreg: n-Gram Text Regression, aka Concise Comparative Summarization (Version 0.1.5)	2014
twl: Two-Way Latent Structure Clustering Model (Version 1.0)	2018
uHMM: Construct an Unsupervised Hidden Markov Model (Version 1.0)	2016
varoc: Value Added Receiver Operating Characteristics Curve (Version 0.2.0)	2023
veccompare: Perform Set Operations on Vectors, Automatically Generating All n-Wise Comparisons, and Create Markdown Output (Version 0.1.0)	2017
visvaR: Shiny-Based Statistical Solutions for Agricultural Research (Version 1.0.0)	2024

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.