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rain

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0

Rhythmicity Analysis Incorporating Non-parametric Methods


Bioconductor version: Development (3.24)

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")):

Paul F. Thaben, Pål O. Westermark. rain: Rhythmicity Analysis Incorporating Non-parametric Methods. doi:10.18129/B9.bioc.rain, R package version 1.47.0, https://bioconductor.org/packages/rain.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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")
Rain Usage PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews Genetics, Microarray, MultipleComparison, Proteomics, Software, SystemsBiology, TimeCourse
Version1.47.0
In Bioconductor sinceBioC 3.0 (R-3.1) (12 years)
License GPL-2
Depends R (>= 2.10), gmp, multtest
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Package Archives

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

Source Package rain_1.47.0.tar.gz
Windows Binary (x86_64) rain_1.47.0.zip
macOS Binary (big-sur-x86_64) rain_1.47.0.tgz
macOS Binary (sonoma-arm64) rain_1.47.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/rain
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/rain
Package Short Url https://bioconductor.org/packages/rain/
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