Package: rain 1.41.0

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

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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-1.41.0(bioc 3.21)rain-1.40.0(bioc 3.20)

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

timecoursegeneticssystemsbiologyproteomicsmicroarraymultiplecomparison

3.86 score 18 scripts 280 downloads 2 mentions 1 exports 9 dependencies

Last updated 2 months agofrom:8ce75e2bbe. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 18 2024
R-4.5-winNOTEDec 18 2024
R-4.5-linuxNOTEDec 18 2024
R-4.4-winNOTEDec 18 2024
R-4.4-macNOTEDec 18 2024
R-4.3-winNOTEDec 18 2024
R-4.3-macNOTEDec 18 2024

Exports:rain

Dependencies:BiobaseBiocGenericsgenericsgmplatticeMASSMatrixmulttestsurvival

Rain Usage

Rendered fromrain.Rnwusingutils::Sweaveon Dec 18 2024.

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