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) . Townes FW (2019) .


Reference manual

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0.2.0 by F. William Townes, a year ago


Report a bug at https://github.com/willtownes/glmpca/issues

Browse source code at https://github.com/cran/glmpca

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

Documentation:   PDF Manual  

LGPL (>= 3) | file LICENSE license

Imports MASS, methods, stats, utils

Suggests covr, ggplot2, knitr, logisticPCA, markdown, Matrix, testthat

See at CRAN