Package: simphony 1.0.3

Jake Hughey

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>.

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

simphony_1.0.3.tar.gz
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simphony_1.0.3.tgz(r-4.5-emscripten)
simphony.pdf |simphony.html✨
simphony/json (API)
NEWS

# Install 'simphony' in R:
install.packages('simphony', repos = c('https://hugheylab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hugheylab/simphony/issues

Pkgdown/docs site:https://simphony.hugheylab.org

Datasets:
  • defaultDispFunc - Default function for mapping expected counts to dispersion.

On CRAN:

Conda:

rhythmic-datasimphony

4.78 score 3 stars 2 scripts 240 downloads 5 exports 4 dependencies

Last updated from:f5a705e50e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK123
source / vignettesOK174
linux-release-x86_64OK121
macos-devel-arm64OK104
macos-release-arm64OK85
windows-develOK64
windows-releaseOK90
windows-oldrelOK77
wasm-releaseOK114

Exports:getExpectedAbundgetSampledAbundmergeSimDatasimphonysplitDiffFeatureGroups

Dependencies:codetoolsdata.tableforeachiterators

Using simphony to evaluate rhythm detection

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Mar 21 2026.

Last update: 2022-04-11
Started: 2018-10-26

Using simphony's various options

Rendered fromexamples.Rmdusingknitr::rmarkdownon Mar 21 2026.

Last update: 2022-04-11
Started: 2019-03-08