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]

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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'))

Peer review:

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

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

On CRAN:

rhythmic-datasimphony

5 exports 3 stars 1.11 score 4 dependencies 2 scripts 260 downloads

Last updated 2 years agofrom:f5a705e50e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:getExpectedAbundgetSampledAbundmergeSimDatasimphonysplitDiffFeatureGroups

Dependencies:codetoolsdata.tableforeachiterators

Using simphony to evaluate rhythm detection

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Aug 22 2024.

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

Using simphony's various options

Rendered fromexamples.Rmdusingknitr::rmarkdownon Aug 22 2024.

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