Simulating Large-Scale, Rhythmic Data [R package simphony version 1.0.3]

simphony: Simulating Large-Scale, Rhythmic Data

A tool for simulating rhythmic data: transcriptome data using Gaussian or negative binomial distributions, and behavioral activity data using Bernoulli or Poisson distributions. See Singer et al. (2019) <doi:10.7717/peerj.6985>.

Version: 1.0.3

Depends: R (≥ 3.4)

Imports: data.table (≥ 1.11.4), foreach (≥ 1.4.4)

Suggests: ggplot2 (≥ 3.0.0), kableExtra (≥ 0.9.0), knitr (≥ 1.20), limma (≥ 3.34.9), precrec (≥ 0.9.1), rmarkdown (≥ 1.9), testthat (≥ 2.0.0)

Published: 2022年08月09日

DOI: 10.32614/CRAN.package.simphony

Author: Jake Hughey [aut, cre], Jordan Singer [aut], Darwin Fu [ctb]

Maintainer: Jake Hughey <jakejhughey at gmail.com>

License: GPL-2

URL: https://simphony.hugheylab.org, https://github.com/hugheylab/simphony

NeedsCompilation: no

Materials: NEWS

CRAN checks: simphony results

Documentation:

Reference manual: simphony.html , simphony.pdf

Vignettes: Using simphony's various options (source, R code)
Using simphony to evaluate rhythm detection (source, R code)

Downloads:

Package source: simphony_1.0.3.tar.gz

Windows binaries: r-devel: simphony_1.0.3.zip, r-release: simphony_1.0.3.zip, r-oldrel: simphony_1.0.3.zip

macOS binaries: r-release (arm64): simphony_1.0.3.tgz, r-oldrel (arm64): simphony_1.0.3.tgz, r-release (x86_64): simphony_1.0.3.tgz, r-oldrel (x86_64): simphony_1.0.3.tgz

Old sources: simphony archive

Linking:

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