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: 1.0.0
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: 2022-02-09
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.pdf
Vignettes: Using simphony's various options
Using simphony to evaluate rhythm detection

Downloads:

Package source: simphony_1.0.0.tar.gz
Windows binaries: r-devel: simphony_1.0.0.zip, r-release: simphony_1.0.0.zip, r-oldrel: simphony_1.0.0.zip
macOS binaries: r-release (arm64): simphony_1.0.0.tgz, r-release (x86_64): simphony_1.0.0.tgz, r-oldrel: simphony_1.0.0.tgz

Linking:

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