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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