limorhyde: Differential Analysis of Rhythmic Transcriptome Data

A flexible approach, inspired by cosinor regression, for differential analysis of rhythmic transcriptome data. See Singer and Hughey (2018) <doi:10.1177/0748730418813785>.

Version: 1.0.1
Depends: R (≥ 3.4)
Imports: pbs (≥ 1.1)
Suggests: annotate (≥ 1.58.0), data.table (≥ 1.12.2), foreach (≥ 1.4.4), ggplot2 (≥ 2.2.1), knitr (≥ 1.20), limma (≥ 3.36.1), matrixStats (≥ 0.56.0), org.Mm.eg.db (≥ 3.6.0), qs (≥ 0.25.2), rmarkdown (≥ 1.9), testthat (≥ 3.0.4)
Published: 2022-02-18
Author: Jake Hughey [aut, cre], Jordan Singer [ctb]
Maintainer: Jake Hughey <jakejhughey at gmail.com>
BugReports: https://github.com/hugheylab/limorhyde/issues
License: GPL-2
URL: https://limorhyde.hugheylab.org, https://github.com/hugheylab/limorhyde
NeedsCompilation: no
Materials: NEWS
CRAN checks: limorhyde results

Documentation:

Reference manual: limorhyde.pdf
Vignettes: Analyzing circadian transcriptome data with LimoRhyde

Downloads:

Package source: limorhyde_1.0.1.tar.gz
Windows binaries: r-devel: limorhyde_1.0.1.zip, r-release: limorhyde_1.0.1.zip, r-oldrel: limorhyde_1.0.1.zip
macOS binaries: r-release (arm64): limorhyde_1.0.1.tgz, r-oldrel (arm64): limorhyde_1.0.1.tgz, r-release (x86_64): limorhyde_1.0.1.tgz

Linking:

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