CRAN/E | glmpca

glmpca

Dimension Reduction of Non-Normally Distributed Data

Installation

About

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) .

github.com/willtownes/glmpca
Bug report File report

Key Metrics

Version 0.2.0
R ≥ 3.5
Published 2020-07-18 978 days ago
Needs compilation? no
License LGPL (≥ 3)
License File
CRAN checks glmpca results
Language en-US

Downloads

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Last 7 days 197 -10%
Last 30 days 744 +11%
Last 90 days 1.854 -12%
Last 365 days 7.469 -16%

Maintainer

Maintainer

F. William Townes

will.townes@gmail.com

Authors

F. William Townes

aut / cre / cph

Kelly Street

aut

Jake Yeung

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Applying GLM-PCA to Data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

glmpca archive

Depends

R ≥ 3.5

Imports

MASS
methods
stats
utils

Suggests

covr
ggplot2
knitr
logisticPCA
markdown
Matrix
testthat

Reverse Imports

scpoisson
scry
systemPipeTools

Reverse Suggests

systemPipeShiny