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MNM: Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks

Multivariate tests, estimates and methods based on the identity score, spatial sign score and spatial rank score are provided. The methods include one and c-sample problems, shape estimation and testing, linear regression and principal components. The methodology is described in Oja (2010) <doi:10.1007/978-1-4419-0468-3> and Nordhausen and Oja (2011) <doi:10.18637/jss.v043.i05>.

Version: 1.0-4
Depends: R (≥ 2.9.2), ICSNP, SpatialNP
Imports: ellipse, ICS
Suggests: gamlss, mvtnorm
Published: 2023-11-29
Author: Klaus Nordhausen ORCID iD [aut, cre], Jyrki Mottonen ORCID iD [aut], Hannu Oja ORCID iD [aut]
Maintainer: Klaus Nordhausen <klausnordhausenR at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: MNM citation info
Materials: ChangeLog
CRAN checks: MNM results

Documentation:

Reference manual: MNM.pdf

Downloads:

Package source: MNM_1.0-4.tar.gz
Windows binaries: r-devel: MNM_1.0-4.zip, r-release: MNM_1.0-4.zip, r-oldrel: MNM_1.0-4.zip
macOS binaries: r-release (arm64): MNM_1.0-4.tgz, r-oldrel (arm64): MNM_1.0-4.tgz, r-release (x86_64): MNM_1.0-4.tgz, r-oldrel (x86_64): MNM_1.0-4.tgz
Old sources: MNM archive

Reverse dependencies:

Reverse imports: mvctm
Reverse suggests: SpatialNP

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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