mvnpermute: Generate New Multivariate Normal Samples from Permutations

Given a vector of multivariate normal data, a matrix of covariates and the data covariance matrix, generate new multivariate normal samples that have the same covariance matrix based on permutations of the transformed data residuals.

Version: 1.0.1
Imports: stats
Published: 2022-04-21
Author: Mark Abney [cre, aut]
Maintainer: Mark Abney <abney at uchicago.edu>
License: GPL (≥ 3.0)
URL: https://github.com/markabney/MVNpermute
NeedsCompilation: no
CRAN checks: mvnpermute results

Documentation:

Reference manual: mvnpermute.pdf

Downloads:

Package source: mvnpermute_1.0.1.tar.gz
Windows binaries: r-devel: mvnpermute_1.0.1.zip, r-release: mvnpermute_1.0.1.zip, r-oldrel: mvnpermute_1.0.1.zip
macOS binaries: r-release (arm64): mvnpermute_1.0.1.tgz, r-oldrel (arm64): mvnpermute_1.0.1.tgz, r-release (x86_64): mvnpermute_1.0.1.tgz, r-oldrel (x86_64): mvnpermute_1.0.1.tgz
Old sources: mvnpermute archive

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