manta: Multivariate Asymptotic Non-Parametric Test of Association

The Multivariate Asymptotic Non-parametric Test of Association (MANTA) enables non-parametric, asymptotic P-value computation for multivariate linear models. MANTA relies on the asymptotic null distribution of the PERMANOVA test statistic. P-values are computed using a highly accurate approximation of the corresponding cumulative distribution function. Garrido-Martín et al. (2022) <doi:10.1101/2022.06.06.493041>.

Version: 1.0.1
Depends: R (≥ 3.3.2)
Suggests: testthat
Published: 2023-10-10
Author: Diego Garrido-Martín [aut, cre], Ferran Reverter [aut], Miquel Calvo [aut], Roderic Guigó [aut]
Maintainer: Diego Garrido-Martín <dgarrido at ub.edu>
BugReports: https://github.com/dgarrimar/manta/issues
License: GPL-3
URL: https://github.com/dgarrimar/manta
NeedsCompilation: yes
Materials: README
CRAN checks: manta results

Documentation:

Reference manual: manta.pdf

Downloads:

Package source: manta_1.0.1.tar.gz
Windows binaries: r-devel: manta_1.0.1.zip, r-release: manta_1.0.1.zip, r-oldrel: manta_1.0.1.zip
macOS binaries: r-release (arm64): manta_1.0.1.tgz, r-oldrel (arm64): manta_1.0.1.tgz, r-release (x86_64): manta_1.0.1.tgz
Old sources: manta archive

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