Package: nsprcomp
Authors@R: c( person("Christian", "Sigg", email =
        "christian@sigg-iten.ch", role = c("aut", "cre"), comment =
        c(ORCID = "0000-0003-1067-9224")), person("R Core team", role =
        "ctb", comment = "prcomp interface, formula implementation and
        documentation"))
Version: 0.5.1-2
Title: Non-Negative and Sparse PCA
Description: Two methods for performing a constrained principal
        component analysis (PCA), where non-negativity and/or sparsity
        constraints are enforced on the principal axes (PAs). The
        function 'nsprcomp' computes one principal component (PC) after
        the other. Each PA is optimized such that the corresponding PC
        has maximum additional variance not explained by the previous
        components. In contrast, the function 'nscumcomp' jointly
        computes all PCs such that the cumulative variance is maximal.
        Both functions have the same interface as the 'prcomp' function
        from the 'stats' package (plus some extra parameters), and both
        return the result of the analysis as an object of class
        'nsprcomp', which inherits from 'prcomp'. See
        <https://sigg-iten.ch/learningbits/2013/05/27/nsprcomp-is-on-cran/>
        and Sigg et al. (2008) <doi:10.1145/1390156.1390277> for more
        details.
URL: https://sigg-iten.ch/research/
BugReports: https://github.com/chrsigg/nsprcomp/issues
License: GPL (>=2)
Depends: R (>= 3.4.0)
Imports: stats
Suggests: MASS, testthat (>= 0.8), roxygen2
RoxygenNote: 6.0.1
Repository: https://chrsigg.r-universe.dev
Date/Publication: 2018-06-05 06:44:02 UTC
RemoteUrl: https://github.com/chrsigg/nsprcomp
RemoteRef: HEAD
RemoteSha: 036d20b2eb34f91348a0892aed0d9cc63c41a9c3
NeedsCompilation: no
Packaged: 2026-09-30 08:33:54 UTC; root
Author: Christian Sigg [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1067-9224>),
  R Core team [ctb] (prcomp interface, formula implementation and
    documentation)
Maintainer: Christian Sigg <christian@sigg-iten.ch>