rain

DOI: 10.18129/B9.bioc.rain  

Rhythmicity Analysis Incorporating Non-parametric Methods

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("rain")

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

Documentation

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

browseVignettes("rain")

 

PDF	R Script	Rain Usage
PDF		Reference Manual
Text		NEWS

Details

biocViews	Genetics, Microarray, MultipleComparison, Proteomics, Software, SystemsBiology, TimeCourse
Version	1.32.0
In Bioconductor since	BioC 3.0 (R-3.1) (8.5 years)
License	GPL-2
Depends	R (>= 2.10), gmp, multtest
Imports
LinkingTo
Suggests	lattice, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	rain_1.32.0.tar.gz
Windows Binary	rain_1.32.0.zip
macOS Binary (x86_64)	rain_1.32.0.tgz
macOS Binary (arm64)	rain_1.32.0.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/
Package Downloads Report	Download Stats