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>.

Package details

AuthorNicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>, Université Bordeaux Montaigne), Jean-Baptiste Fourvel [ctb] (<https://orcid.org/0000-0002-1061-4642>, CNRS), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>, Université Bordeaux Montaigne)
MaintainerNicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
LicenseGPL (>= 3)
URL https://packages.tesselle.org/dimensio/ https://github.com/tesselle/dimensio
Package repositoryView on CRAN
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dimensio documentation built on April 4, 2023, 5:14 p.m.