Package: CovTools 0.5.6

CovTools: Statistical Tools for Covariance Analysis

Covariance is of universal prevalence across various disciplines within statistics. We provide a rich collection of geometric and inferential tools for convenient analysis of covariance structures, topics including distance measures, mean covariance estimator, covariance hypothesis test for one-sample and two-sample cases, and covariance estimation. For an introduction to covariance in multivariate statistical analysis, see Schervish (1987) <doi:10.1214/ss/1177013111>.

Authors:Kyoungjae Lee [aut], Lizhen Lin [ctb], Kisung You [aut, cre]

CovTools_0.5.6.tar.gz
CovTools_0.5.6.zip(r-4.7)CovTools_0.5.6.zip(r-4.6)CovTools_0.5.6.zip(r-4.5)
CovTools_0.5.6.tgz(r-4.6-x86_64)CovTools_0.5.6.tgz(r-4.6-arm64)CovTools_0.5.6.tgz(r-4.5-x86_64)CovTools_0.5.6.tgz(r-4.5-arm64)
CovTools_0.5.6.tar.gz(r-4.7-arm64)CovTools_0.5.6.tar.gz(r-4.7-x86_64)CovTools_0.5.6.tar.gz(r-4.6-arm64)CovTools_0.5.6.tar.gz(r-4.6-x86_64)
CovTools_0.5.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CovTools/json (API)
NEWS

# Install 'CovTools' in R:
install.packages('CovTools', repos = c('https://kisungyou.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kisungyou/covtools/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

covariancecovariance-estimationopenblascpp

4.63 score 14 stars 61 scripts 347 downloads 22 exports 55 dependencies

Last updated from:09efa21aa1. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK222
linux-devel-x86_64OK200
source / vignettesOK280
linux-release-arm64OK213
linux-release-x86_64OK208
macos-release-arm64OK117
macos-release-x86_64OK282
macos-oldrel-arm64OK159
macos-oldrel-x86_64OK268
windows-develOK166
windows-releaseOK155
windows-oldrelOK144
wasm-releaseOK177

Exports:BCovTest1.mxPBFBDiagTest1.mxPBFCovDistCovEst.2003LWCovEst.2010OASCovEst.2010RBLWCovEst.adaptiveCovEst.hardCovEst.hardPDCovEst.nearPDCovEst.softCovMeanCovTest1.2013CaiCovTest1.2014SrivastavaCovTest2.2013CaiDiagTest1.2011CaiDiagTest1.2015LanPreEst.2014AnPreEst.2014BanerjeePreEst.2017LeePreEst.glassosamplecovs

Dependencies:base64encbslibcachemclicodetoolscpp11digestdoParallelevaluateexpmfastmapfitdistrplusflarefontawesomeforeachfsgeigengluehighrhtmltoolshtmlwidgetsigraphiteratorsjquerylibjsonliteknitrlatticelifecyclemagrittrMASSMatrixmemoisemimeminpack.lmmvtnormpkgconfigpracmaR6rappdirsrbibutilsRcppRcppArmadilloRdpackrglrlangrmarkdownsassscatterplot3dshapesSHTsurvivaltinytexvctrsxfunyaml

Readme and manuals

Help Manual

Help pageTopics
One-Sample Covariance Test using Maximum Pairwise Bayes FactorBCovTest1.mxPBF
One-Sample Diagonality Test by Maximum Pairwise Bayes FactorBDiagTest1.mxPBF
Compute Pairwise Distance for Symmetric Positive-Definite MatricesCovDist
Covariance Estimation with Linear ShrinkageCovEst.2003LW
Oracle Approximating Shrinkage EstimatorCovEst.2010OAS
Rao-Blackwell Ledoit-Wolf EstimatorCovEst.2010RBLW
Covariance Estimation via Adaptive ThresholdingCovEst.adaptive
Covariance Estimation via Hard ThresholdingCovEst.hard
Covariance Estimation via Hard Thresholding under Positive-Definiteness ConstraintCovEst.hardPD
Covariance Estimation via Nearest Positive-Definite Matrix ProjectionCovEst.nearPD
Covariance Estimation via Soft ThresholdingCovEst.soft
Estimate Mean Covariance MatrixCovMean
One-Sample Covariance Test by Cai and Ma (2013)CovTest1.2013Cai
One-Sample Covariance Test by Srivastava, Yanagihara, and Kubokawa (2014)CovTest1.2014Srivastava
Two-Sample Covariance Test by Cai and Ma (2013)CovTest2.2013Cai
One-Sample Diagonality Test by Cai and Jiang (2011)DiagTest1.2011Cai
One-Sample Diagonality Test by Lan et al. (2015)DiagTest1.2015Lan
Banded Precision Matrix Estimation via Bandwidth TestPreEst.2014An
Bayesian Estimation of a Banded Precision Matrix (Banerjee 2014)PreEst.2014Banerjee
Bayesian Estimation of a Banded Precision Matrix (Lee 2017)PreEst.2017Lee
Precision Matrix Estimation via Graphical LassoPreEst.glasso
Generate Sample Covariances of 2 groupssamplecovs