Package: MVLM 0.1.4

Daniel B. McArtor

MVLM: Multivariate Linear Model with Analytic p-Values

Allows a user to conduct multivariate multiple regression using analytic p-values rather than classic approximate F-tests.

Authors:Daniel B. McArtor [aut, cre]

MVLM_0.1.4.tar.gz
MVLM_0.1.4.zip(r-4.5)MVLM_0.1.4.zip(r-4.4)MVLM_0.1.4.zip(r-4.3)
MVLM_0.1.4.tgz(r-4.5-any)MVLM_0.1.4.tgz(r-4.4-any)MVLM_0.1.4.tgz(r-4.3-any)
MVLM_0.1.4.tar.gz(r-4.5-noble)MVLM_0.1.4.tar.gz(r-4.4-noble)
MVLM_0.1.4.tgz(r-4.4-emscripten)MVLM_0.1.4.tgz(r-4.3-emscripten)
MVLM.pdf |MVLM.html
MVLM/json (API)
NEWS

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

Bug tracker:https://github.com/dmcartor/mvlm/issues

Datasets:
  • X.mvlm - Simulated predictor data to illustrate the mvlm package.
  • Y.mvlm - Simulated outcome data to illustrate the mvlm package.

On CRAN:

Conda:

archivedpackagesr-universe

2.70 score 5 stars 417 downloads 1 exports 1 dependencies

Last updated 7 days agofrom:f0db567df0 (on package/MVLM). Checks:6 OK, 3 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winNOTEMar 24 2025
R-4.5-macNOTEMar 24 2025
R-4.5-linuxNOTEMar 24 2025
R-4.4-winOKMar 24 2025
R-4.4-macOKMar 24 2025
R-4.4-linuxOKMar 24 2025
R-4.3-winOKMar 24 2025
R-4.3-macOKMar 24 2025

Exports:mvlm

Dependencies:CompQuadForm

Using the MVLM Package

Rendered frommvlm-vignette.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2025-03-24
Started: 2025-03-24