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 |
| Reference manual: | mvnpermute.pdf |
| 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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