This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see rain.

Rhythmicity Analysis Incorporating Non-parametric Methods

Bioconductor version: 3.18

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.

Author: Paul F. Thaben, Pål O. Westermark

Maintainer: Paul F. Thaben <paul.thaben at charite.de>

Citation (from within R, enter citation("rain")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Rain Usage PDF R Script
Reference Manual PDF


biocViews Genetics, Microarray, MultipleComparison, Proteomics, Software, SystemsBiology, TimeCourse
Version 1.36.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL-2
Depends R (>= 2.10), gmp, multtest
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Follow Installation instructions to use this package in your R session.

Source Package rain_1.36.0.tar.gz
Windows Binary rain_1.36.0.zip
macOS Binary (x86_64) rain_1.36.0.tgz
macOS Binary (arm64) rain_1.36.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/rain
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/rain
Bioc Package Browser https://code.bioconductor.org/browse/rain/
Package Short Url https://bioconductor.org/packages/rain/
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