Package: dimensio
Title: Multivariate Data Analysis
Version: 0.2.1
Authors@R: 
    c(person(given = "Nicolas",
             family = "Frerebeau",
             role = c("aut", "cre"),
             email = "nicolas.frerebeau@u-bordeaux-montaigne.fr",
             comment = c(ORCID = "0000-0001-5759-4944")),
      person(given = "Jean-Baptiste",
             family = "Fourvel",
             role = "ctb",
             email = "fourvel@mmsh.univ-aix.fr",
             comment = c(ORCID = "0000-0002-1061-4642")),
      person(given = "Brice",
             family = "Lebrun",
             role = "ctb",
             email = "brice.lebrun@u-bordeaux-montaigne.fr",
             comment = c(ORCID = "0000-0001-7503-8685")))
Maintainer: Nicolas Frerebeau
 <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Description: 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>.
License: GPL (>= 3)
URL: https://dimensio.tesselle.org,
        https://github.com/tesselle/dimensio
BugReports: https://github.com/tesselle/dimensio/issues
Depends: R (>= 3.3)
Imports: ggplot2, methods, rlang
Suggests: covr, folio, FactoMineR, ggrepel, khroma, testthat (>=
        3.0.0), vdiffr
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.1.1
Collate: 'AllClasses.R' 'AllGenerics.R' 'bootstrap.R' 'ca.R'
        'dimensio-package.R' 'helpers.R' 'joint.R' 'mutators.R' 'pca.R'
        'plot.R' 'show.R' 'subset.R' 'summary.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2021-05-17 16:25:40 UTC; nicolas
Author: Nicolas 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>)
Repository: CRAN
Date/Publication: 2021-05-17 17:40:07 UTC
