Package: marg 1.2-4

marg: Approximate Marginal Inference for Regression-Scale Models

Implements likelihood inference based on higher order approximations for linear nonnormal regression models.

Authors:Alessandra R. Brazzale [aut, cre]

marg_1.2-4.tar.gz
marg_1.2-4.zip(r-4.7-any)marg_1.2-4.zip(r-4.6-any)marg_1.2-4.zip(r-4.5-any)
marg_1.2-4.tgz(r-4.6-any)marg_1.2-4.tgz(r-4.5-any)
marg_1.2-4.tar.gz(r-4.7-any)marg_1.2-4.tar.gz(r-4.6-any)
marg_1.2-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
marg/json (API)

# Install 'marg' in R:
install.packages('marg', repos = c('https://arbrazzale.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • darwin - Darwin's Data on Growth Rates of Plants
  • houses - House Price Data
  • nuclear - Nuclear Power Station Data
  • venice - Sea Level Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.89 score 1 packages 26 scripts 471 downloads 36 exports 4 dependencies

Last updated from:7558194c02. Checks:2 NOTE, 7 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE112
source / vignettesOK180
linux-releaseOK104
macos-releaseOK138
macos-oldrelOK170
windows-develNOTE93
windows-releaseOK84
windows-oldrelOK84
wasm-releaseOK76

Exports:anova.rsmanova.rsmlistcondcond.rsmdHuberextremefamily.rsmHuberlogisticlogLik.rsmlogWeibullmake.family.rsmpHuberplot.margplot.rsmprint.familyRsmprint.margprint.rsmprint.summaryMargprint.summaryRsmqHuberresiduals.rsmrHuberrsmrsm.diagrsm.diag.plotsrsm.dispersionrsm.distributionsrsm.fitrsm.nullrsm.survstudentsummary.margsummary.rsmupdate.rsmvcov.rsm

Dependencies:latticeMatrixstatmodsurvival