cate: High Dimensional Factor Analysis and Confounder Adjusted Testing and Estimation

Provides several methods for factor analysis in high dimension (both n,p >> 1) and methods to adjust for possible confounders in multiple hypothesis testing.

Version: 1.1.1
Imports: Matrix, MASS, esaBcv, ruv, sva, corpcor, leapp
Suggests: knitr, ggplot2, gridExtra
Published: 2020-06-23
Author: Jingshu Wang [aut], Qingyuan Zhao [aut, cre]
Maintainer: Qingyuan Zhao <qz280 at cam.ac.uk>
License: GPL-2
NeedsCompilation: no
CRAN checks: cate results

Documentation:

Reference manual: cate.pdf
Vignettes: cate vignette

Downloads:

Package source: cate_1.1.1.tar.gz
Windows binaries: r-devel: cate_1.1.1.zip, r-release: cate_1.1.1.zip, r-oldrel: cate_1.1.1.zip
macOS binaries: r-release (arm64): cate_1.1.1.tgz, r-oldrel (arm64): cate_1.1.1.tgz, r-release (x86_64): cate_1.1.1.tgz, r-oldrel (x86_64): cate_1.1.1.tgz
Old sources: cate archive

Reverse dependencies:

Reverse imports: SEMgraph, seqgendiff

Linking:

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