Simple Principal Components Analysis (PCA) and (Multiple) 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: 0.14.0 Depends: R (≥ 3.5) Imports: arkhe (≥ 1.10.0), graphics, grDevices, khroma (≥ 1.16.0), methods, utils Suggests: fontquiver, knitr, markdown, rsvg, svglite, tinysnapshot, tinytest Published: 2025-05-20 DOI: 10.32614/CRAN.package.dimensio Author: Nicolas Frerebeau [aut, cre], Jean-Baptiste Fourvel [ctb], Camille Thabard [ctb], Brice Lebrun [art] (Logo designer), Université Bordeaux Montaigne [fnd], CNRS [fnd] Maintainer: Nicolas Frerebeau <nicolas.frerebeau at u-bordeaux-montaigne.fr> BugReports: https://codeberg.org/tesselle/dimensio/issues License: GPL (≥ 3) URL: https://codeberg.org/tesselle/dimensio, https://packages.tesselle.org/dimensio/, https://tesselle.r-universe.dev/dimensio NeedsCompilation: no Citation: dimensio citation info Materials: README, NEWS CRAN checks: dimensio results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=dimensio to link to this page.
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