Package: marg 1.2-2.1

marg: Approximate Marginal Inference for Regression-Scale Models

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

Authors:S original by Alessandra R. Brazzale <[email protected]>. R port by Alessandra R. Brazzale <[email protected]>, following earlier work by Douglas Bates.

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marg/json (API)

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

Peer review:

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:

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

1.88 score 1 packages 25 scripts 243 downloads 36 exports 4 dependencies

Last updated 7 years agofrom:3bf2a37461. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-winNOTENov 23 2024
R-4.5-linuxNOTENov 23 2024
R-4.4-winNOTENov 23 2024
R-4.4-macNOTENov 23 2024
R-4.3-winNOTENov 23 2024
R-4.3-macNOTENov 23 2024

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

Dependencies:latticeMatrixstatmodsurvival