Package: rain 1.39.0

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_1.39.0.tar.gz
rain_1.39.0.zip(r-4.5)rain_1.39.0.zip(r-4.4)rain_1.39.0.zip(r-4.3)
rain_1.39.0.tgz(r-4.4-any)rain_1.39.0.tgz(r-4.3-any)
rain_1.39.0.tar.gz(r-4.5-noble)rain_1.39.0.tar.gz(r-4.4-noble)
rain_1.39.0.tgz(r-4.4-emscripten)rain_1.39.0.tgz(r-4.3-emscripten)
rain.pdf |rain.html
rain/json (API)
NEWS

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

Peer review:

Datasets:

On BioConductor:rain-1.39.0(bioc 3.20)rain-1.38.0(bioc 3.19)

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

bioconductor-package

1 exports 0.82 score 8 dependencies 2 mentions

Last updated 2 months agofrom:751011b3c8

Exports:rain

Dependencies:BiobaseBiocGenericsgmplatticeMASSMatrixmulttestsurvival

Rain Usage

Rendered fromrain.Rnwusingutils::Sweaveon Jun 30 2024.

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