rain: Rhythmicity Analysis Incorporating Non-parametric Methods

This package uses non-parametric methods to detect rhythms in time series. It deals with outliers, missing values and is optimized for time series comprising 10-100 measurements. As it does not assume expect any distinct waveform it is optimal or detecting oscillating behavior (e.g. circadian or cell cycle) in e.g. genome- or proteome-wide biological measurements such as: micro arrays, proteome mass spectrometry, or metabolome measurements.

AuthorPaul F. Thaben, Pål O. Westermark
Date of publicationNone
MaintainerPaul F. Thaben <paul.thaben@charite.de>
LicenseGPL-2
Version1.8.0

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Files

rain/DESCRIPTION
rain/NAMESPACE
rain/R
rain/R/calcStatistic.R rain/R/mainFunction.R rain/R/mouseLiverData.R rain/R/p.est.R rain/R/rain-package.R rain/R/umbCirc.R
rain/build
rain/build/vignette.rds
rain/data
rain/data/menetRNASeqMouseLiver.rda
rain/inst
rain/inst/CITATION
rain/inst/NEWS
rain/inst/doc
rain/inst/doc/rain.R
rain/inst/doc/rain.Rnw
rain/inst/doc/rain.pdf
rain/man
rain/man/menetRNASeqMouseLiver.Rd rain/man/rain-package.Rd rain/man/rain.Rd
rain/vignettes
rain/vignettes/rain.Rnw

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