| covEB-package {covEB} | R Documentation |
Using bayesian methods to estimate correlation matrices assuming that they can be written and estimated as block diagonal matrices. These block diagonal matrices are determined using shrinkage parameters that values below this parameter to zero.
The DESCRIPTION file:
| Package: | covEB |
| Type: | Package |
| Title: | Empirical Bayes estimate of block diagonal covariance matrices |
| Version: | 1.13.0 |
| Date: | 2017-01-29 |
| Author: | C. Pacini |
| Maintainer: | C. Pacini <clarepacini@gmail.com> |
| Description: | Using bayesian methods to estimate correlation matrices assuming that they can be written and estimated as block diagonal matrices. These block diagonal matrices are determined using shrinkage parameters that values below this parameter to zero. |
| License: | GPL-3 |
| Depends: | R (>= 3.3), mvtnorm, igraph, gsl, Biobase, stats, LaplacesDemon, Matrix |
| Suggests: | curatedBladderData |
| biocViews: | ImmunoOncology, Bayesian, Microarray, RNASeq, Preprocessing, Software, GeneExpression, StatisticalMethod |
| git_url: | https://git.bioconductor.org/packages/covEB |
| git_branch: | master |
| git_last_commit: | 0196c26 |
| git_last_commit_date: | 2019-10-29 |
| Date/Publication: | 2019-11-08 |
Index of help topics:
EBsingle Empirical Bayes estimate of block diagonal
correlation matrix
covEB Empirical Bayes estimate of block diagonal
correlation matrix
covEB-package Empirical Bayes estimate of block diagonal
covariance matrices
The function for this package is EBsingle that calculates an empirical Bayes estimate of a given covariance matrix assuming that is has a block diagonal structure.
C. Pacini
Maintainer: C. Pacini <clarepacini@gmail.com>