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
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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'))

Peer review:

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

On CRAN:

3.70 score 2 scripts 90 downloads 6 exports 30 dependencies

Last updated 2 years agofrom:53427da448. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winWARNINGNov 01 2024
R-4.5-linuxWARNINGNov 01 2024
R-4.4-winWARNINGNov 01 2024
R-4.4-macWARNINGNov 01 2024
R-4.3-winWARNINGNov 01 2024
R-4.3-macWARNINGNov 01 2024

Exports:bic_lsrmixed_lsrplot_lsrsimulate_lsrsimulate_responsesimulate_sparse

Dependencies:clicolorspacefansifarverggplot2gluegrpreggtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Introduction to mixedLSR

Rendered frommixedLSR.Rmdusingknitr::rmarkdownon Nov 01 2024.

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