Package: spca
Type: Package
Title: Least Squares Sparse Principal Components Analysis
Version: 1.1.5
Date: 2026-09-28
Authors@R: person(given = "Giovanni Maria", family = "Merola", email = "merolagio@gmail.com", role = c("aut", "cre"))
Description: Implements least-squares sparse principal component
        analysis with cardinality constraints. The package has an
        efficient C++ backend and provides functions for fitting,
        summarizing, comparing, and visualizing sparse principal
        component models. The approach follows Merola (2015)
        <doi:10.1111/anzs.12128> and Merola and Chen (2019)
        <doi:10.1016/j.jmva.2019.04.001>.
Maintainer: Giovanni Maria Merola <merolagio@gmail.com>
URL: https://github.com/merolagio/spca
BugReports: https://github.com/merolagio/spca/issues
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: Rcpp (>= 1.0.14), ggplot2 (>= 4.0.0), RMTstat (>= 0.3.1),
        scales, rlang
Suggests: testthat (>= 3.0.0), peakRAM (>= 1.0.2), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
LazyData: true
NeedsCompilation: yes
Repository: https://merolagio.r-universe.dev
Date/Publication: 2026-09-30 12:04:38 UTC
RemoteUrl: https://github.com/merolagio/spca
RemoteRef: HEAD
RemoteSha: b4f4d4f3b2366ee972c504c74ed6a9cb80e9a13e
Packaged: 2026-10-30 12:42:35 UTC; root
Author: Giovanni Maria Merola [aut, cre]