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>), Jean-Baptiste Fourvel [ctb] (<https://orcid.org/0000-0002-1061-4642>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>)
MaintainerNicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
LicenseGPL (>= 3)
Version0.2.2
URL https://packages.tesselle.org/dimensio/ https://github.com/tesselle/dimensio
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("dimensio")

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dimensio documentation built on Sept. 18, 2021, 5:06 p.m.