The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden

Multivariate Analysis methods and data sets used in John Marden's book Multivariate Statistics: Old School (2015) <ISBN:978-1456538835>. This also serves as a companion package for the STAT 571: Multivariate Analysis course offered by the Department of Statistics at the University of Illinois at Urbana-Champaign ('UIUC').

Version: 1.2.0
Depends: R (≥ 3.0.0), mclust, tree
Published: 2020-10-31
DOI: 10.32614/CRAN.package.msos
Author: John Marden [aut, cph], James Balamuta ORCID iD [cre, ctb, com]
Maintainer: James Balamuta <james.balamuta at gmail.com>
BugReports: https://github.com/coatless/msos/issues
License: MIT + file LICENSE
URL: https://github.com/coatless/msos, https://coatless.github.io/msos/
NeedsCompilation: no
Materials: README NEWS
In views: TeachingStatistics
CRAN checks: msos results

Documentation:

Reference manual: msos.pdf

Downloads:

Package source: msos_1.2.0.tar.gz
Windows binaries: r-devel: msos_1.2.0.zip, r-release: msos_1.2.0.zip, r-oldrel: msos_1.2.0.zip
macOS binaries: r-release (arm64): msos_1.2.0.tgz, r-oldrel (arm64): msos_1.2.0.tgz, r-release (x86_64): msos_1.2.0.tgz, r-oldrel (x86_64): msos_1.2.0.tgz
Old sources: msos archive

Reverse dependencies:

Reverse imports: Semblance

Linking:

Please use the canonical form https://CRAN.R-project.org/package=msos to link to this page.

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.