Package: glmpca 0.2.0.9000

glmpca: Dimension Reduction of Non-Normally Distributed Data

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) <arxiv:1907.02647>.

Authors:F. William Townes [aut, cre, cph], Kelly Street [aut], Jake Yeung [ctb]

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glmpca.pdf |glmpca.html✨
glmpca/json (API)
NEWS

# Install 'glmpca' in R:
install.packages('glmpca', repos = c('https://willtownes.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/willtownes/glmpca/issues

On CRAN:

9.23 score 93 stars 4 packages 255 scripts 670 downloads 3 mentions 1 exports 1 dependencies

Last updated 7 months agofrom:0536890a3a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:glmpca

Dependencies:MASS

Applying GLM-PCA to Data

Will Townes, Kelly Street

Rendered fromglmpca.Rmdusingknitr::knitron Nov 14 2024.

Last update: 2020-07-15
Started: 2019-07-03