dimensio: Multivariate Data Analysis

Simple Principal Components Analysis (PCA) and Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984) <isbn:978-0-12-299050-2> and Lebart et al. (2006) <isbn:978-2-10-049616-7>.

Version:	0.3.1
Depends:	R (≥ 3.3)
Imports:	ggplot2, grDevices, methods, rlang
Suggests:	covr, FactoMineR, ggrepel, khroma, testthat (≥ 3.0.0), vdiffr (≥ 1.0.0)
Published:	2023-04-04
Author:	Nicolas Frerebeau [aut, cre] (Université Bordeaux Montaigne), Jean-Baptiste Fourvel [ctb] (CNRS), Brice Lebrun [ctb] (Université Bordeaux Montaigne)
Maintainer:	Nicolas Frerebeau <nicolas.frerebeau at u-bordeaux-montaigne.fr>
BugReports:	https://github.com/tesselle/dimensio/issues
License:	GPL (≥ 3)
URL:	https://packages.tesselle.org/dimensio/, https://github.com/tesselle/dimensio
NeedsCompilation:	no
Citation:	dimensio citation info
Materials:	README NEWS
CRAN checks:	dimensio results

Documentation:

Reference manual:

dimensio.pdf

Downloads:

Package source:	dimensio_0.3.1.tar.gz
Windows binaries:	r-devel: dimensio_0.3.1.zip, r-release: dimensio_0.3.1.zip, r-oldrel: dimensio_0.3.1.zip
macOS binaries:	r-release (arm64): dimensio_0.3.1.tgz, r-oldrel (arm64): dimensio_0.3.1.tgz, r-release (x86_64): dimensio_0.3.1.tgz, r-oldrel (x86_64): dimensio_0.3.1.tgz
Old sources:	dimensio archive

Reverse dependencies:

Reverse imports:

kairos, tesselle

Linking:

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