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-4.4-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://dmcartor.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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:

1 exports 2 stars 0.78 score 1 dependencies 14 scripts 667 downloads

Last updated 7 years agofrom:9dc5945c7d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:mvlm

Dependencies:CompQuadForm

Using the MVLM Package

Rendered frommvlm-vignette.Rmdusingknitr::rmarkdownon Aug 21 2024.

Last update: 2017-03-26
Started: 2016-05-13