Package: sRDA 1.0.0

sRDA: Sparse Redundancy Analysis

Sparse redundancy analysis for high dimensional (biomedical) data. Directional multivariate analysis to express the maximum variance in the predicted data set by a linear combination of variables of the predictive data set. Implemented in a partial least squares framework, for more details see Csala et al. (2017) <doi:10.1093/bioinformatics/btx374>.

Authors:Attila Csala [aut, cre], Koos Zwinderman [ctb]

sRDA_1.0.0.tar.gz
sRDA_1.0.0.zip(r-4.5)sRDA_1.0.0.zip(r-4.4)sRDA_1.0.0.zip(r-4.3)
sRDA_1.0.0.tgz(r-4.5-any)sRDA_1.0.0.tgz(r-4.4-any)sRDA_1.0.0.tgz(r-4.3-any)
sRDA_1.0.0.tar.gz(r-4.5-noble)sRDA_1.0.0.tar.gz(r-4.4-noble)
sRDA_1.0.0.tgz(r-4.4-emscripten)sRDA_1.0.0.tgz(r-4.3-emscripten)
sRDA.pdf |sRDA.html✨
sRDA/json (API)

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

Bug tracker:https://github.com/acsala/srda/issues

On CRAN:

Conda-Forge:

3.18 score 3 stars 5 scripts 126 downloads 3 exports 9 dependencies

Last updated 10 months agofrom:7bc9fbb423. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-winOKMar 06 2025
R-4.5-macOKMar 06 2025
R-4.5-linuxOKMar 06 2025
R-4.4-winOKMar 06 2025
R-4.4-macOKMar 06 2025
R-4.4-linuxOKMar 06 2025
R-4.3-winOKMar 06 2025
R-4.3-macOKMar 06 2025

Exports:generate_datasCCAsRDA

Dependencies:codetoolsdoParallelelasticnetforeachiteratorslarslatticeMatrixmvtnorm