Registration Open for Bioc2024 July 24-26


This is the development version of rain; for the stable release version, see rain.

Rhythmicity Analysis Incorporating Non-parametric Methods

Bioconductor version: Development (3.20)

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>

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


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


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 1.39.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL-2
Depends R (>= 2.10), gmp, multtest
System Requirements
See More
Suggests lattice, BiocStyle
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package rain_1.39.0.tar.gz
Windows Binary
macOS Binary (x86_64) rain_1.39.0.tgz
macOS Binary (arm64) rain_1.39.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats