Learn R Programming

⚠️There's a newer version (0.5.6) of this package.Take me there.

CovTools (version 0.4.0)

Statistical Tools for Covariance Analysis

Description

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) .

Copy Link

Version

Install

install.packages('CovTools')

Monthly Downloads

503

Version

0.4.0

License

GPL (>= 3)

Maintainer

Kisung You

Last Published

September 1st, 2018

Functions in CovTools (0.4.0)

PreEst.banded2

Bayesian Estimation of a Banded Precision Matrix (Lee 2017)
PreEst.banded1

Bayesian Estimation of a Banded Precision Matrix (Banerjee 2014)
CovEst.hard

Covariance Estimation via Hard Thresholding
PreEst.banded3

Banded Precision Matrix Estimation via Bandwidth Test
samplecovs

Generate Sample Covariances of 2 groups
PreEst.glasso

Precision Matrix Estimation via Graphical Lasso
CovMean

Estimate mean covariance matrix
CovTest1

One-Sample Tests for Covariance Matrices
CovTest2

Two-Sample Tests for Covariance Matrices
CovEst.hardPD

Covariance Estimation via Hard Thresholding under Positive-Definiteness Constraint
CovTools-package

A Collection of Geometric and Statistical Tools for Covariance Analysis
CovDist

Compute pairwise distance for symmetric positive definite matrices.
CovEst.adaptive

Covariance Estimation via Adaptive Thresholding
CovEst.nearPD

Covariance Estimation via Nearest Positive-Definite Matrix Projection
CovEst.soft

Covariance Estimation via Soft Thresholding