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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: seqgendiff

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cate to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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