Implements a generalized version of principal components analysis (GLM-PCA) for dimension reduction of non-normally distributed data such as counts or binary matrices. Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) <doi:10.1186/s13059-019-1861-6>. Townes FW (2019) <doi:10.48550/arXiv.1907.02647>.
Version: 0.2.0 Depends: R (≥ 3.5) Imports: MASS, methods, stats, utils Suggests: covr, ggplot2, knitr, logisticPCA, markdown, Matrix, testthat Published: 2020-07-18 DOI: 10.32614/CRAN.package.glmpca Author: F. William Townes [aut, cre, cph], Kelly Street [aut], Jake Yeung [ctb] Maintainer: F. William Townes <will.townes at gmail.com> BugReports: https://github.com/willtownes/glmpca/issues License: LGPL (≥ 3) | file LICENSE URL: https://github.com/willtownes/glmpca NeedsCompilation: no Language: en-US Materials: README NEWS CRAN checks: glmpca results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=glmpca to link to this page.
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