Package: rain 1.47.0

Paul F. Thaben

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.

Authors:Paul F. Thaben, Pål O. Westermark

rain_1.47.0.tar.gz
rain_1.47.0.zip(r-4.7)rain_1.47.0.zip(r-4.6)rain_1.47.0.zip(r-4.5)
rain_1.47.0.tgz(r-4.6-any)rain_1.47.0.tgz(r-4.5-any)
rain_1.47.0.tar.gz(r-4.7-any)rain_1.47.0.tar.gz(r-4.6-any)
rain_1.47.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
rain/json (API)
NEWS

# Install 'rain' in R:
install.packages('rain', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On BioConductor:rain-1.47.0(bioc 3.24)rain-1.46.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

timecoursegeneticssystemsbiologyproteomicsmicroarraymultiplecomparison

4.25 score 44 scripts 443 downloads 2 mentions 1 exports 9 dependencies

Last updated from:d5072f8471. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR148
linux-devel-x86_64NOTE170
source / vignettesOK232
linux-release-x86_64NOTE242
macos-release-arm64NOTE103
macos-oldrel-arm64NOTE134
windows-develNOTE89
windows-releaseNOTE103
windows-oldrelNOTE101
wasm-releaseOK103

Exports:rain

Dependencies:BiobaseBiocGenericsgenericsgmplatticeMASSMatrixmulttestsurvival

Rain Usage

Rendered fromrain.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2017-08-30
Started: 2014-09-19