Package: LearnPCA
Type: Package
Title: Functions, Data Sets and Vignettes to Aid in Learning Principal
        Components Analysis (PCA)
Version: 0.3.4
Date: 2024-04-25
Authors@R: c(
    person("Bryan A.", "Hanson",
      role = c("aut", "cre"),
      email = "hanson@depauw.edu",
      comment = c(ORCID = "0000-0003-3536-8246")),
    person("David T.", "Harvey",
      role = c("aut"),
      email = "harvey@depauw.edu"))
Description: Principal component analysis (PCA) is one of the most
        widely used data analysis techniques.  This package provides a
        series of vignettes explaining PCA starting from basic
        concepts. The primary purpose is to serve as a self-study
        resource for anyone wishing to understand PCA better. A few
        convenience functions are provided as well.
License: GPL-3
URL: https://bryanhanson.github.io/LearnPCA/
BugReports: https://github.com/bryanhanson/LearnPCA/issues
ByteCompile: TRUE
VignetteBuilder: knitr
Encoding: UTF-8
Imports: markdown, shiny, stats, graphics
Suggests: ChemoSpec, chemometrics, knitr, tinytest, roxut, rmarkdown,
        plot3D, ade4, plotrix, latex2exp, plotly, xtable, bookdown,
Depends: rpart, class, nnet
Roxygen: list(packages = "roxut", roclets = c("namespace", "rd",
        "roxut::tests_roclet"), markdown = TRUE)
RoxygenNote: 7.3.1
Config/pak/sysreqs: cmake make libuv1-dev zlib1g-dev
Repository: https://bryanhanson.r-universe.dev
Date/Publication: 2024-05-17 02:32:20 UTC
RemoteUrl: https://github.com/bryanhanson/learnpca
RemoteRef: HEAD
RemoteSha: fc8715733a436d80524cc039ed16e97f2f2cd667
NeedsCompilation: no
Packaged: 2026-06-11 10:28:34 UTC; root
Author: Bryan A. Hanson [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3536-8246>),
  David T. Harvey [aut]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>