Package: mixedLSR 0.1.0

mixedLSR: Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data

Mixed, low-rank, and sparse multivariate regression ('mixedLSR') provides tools for performing mixture regression when the coefficient matrix is low-rank and sparse. 'mixedLSR' allows subgroup identification by alternating optimization with simulated annealing to encourage global optimum convergence. This method is data-adaptive, automatically performing parameter selection to identify low-rank substructures in the coefficient matrix.

Authors:Alexander White [aut, cre], Sha Cao [aut], Yi Zhao [ctb], Chi Zhang [ctb]

mixedLSR_0.1.0.tar.gz
mixedLSR_0.1.0.zip(r-4.5)mixedLSR_0.1.0.zip(r-4.4)mixedLSR_0.1.0.zip(r-4.3)
mixedLSR_0.1.0.tgz(r-4.5-any)mixedLSR_0.1.0.tgz(r-4.4-any)mixedLSR_0.1.0.tgz(r-4.3-any)
mixedLSR_0.1.0.tar.gz(r-4.5-noble)mixedLSR_0.1.0.tar.gz(r-4.4-noble)
mixedLSR_0.1.0.tgz(r-4.4-emscripten)mixedLSR_0.1.0.tgz(r-4.3-emscripten)
mixedLSR.pdf |mixedLSR.html
mixedLSR/json (API)
NEWS

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

Bug tracker:https://github.com/alexanderjwhite/mixedlsr/issues

Pkgdown site:https://alexanderjwhite.github.io

On CRAN:

Conda:

3.70 score 2 scripts 119 downloads 6 exports 30 dependencies

Last updated 2 years agofrom:53427da448. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-winWARNINGApr 01 2025
R-4.5-macWARNINGApr 01 2025
R-4.5-linuxWARNINGApr 01 2025
R-4.4-winWARNINGApr 01 2025
R-4.4-macWARNINGApr 01 2025
R-4.4-linuxWARNINGApr 01 2025
R-4.3-winWARNINGApr 01 2025
R-4.3-macWARNINGApr 01 2025

Exports:bic_lsrmixed_lsrplot_lsrsimulate_lsrsimulate_responsesimulate_sparse

Dependencies:clicolorspacefansifarverggplot2gluegrpreggtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Introduction to mixedLSR

Rendered frommixedLSR.Rmdusingknitr::rmarkdownon Apr 01 2025.

Last update: 2022-11-03
Started: 2022-11-03