Package: parglms 1.37.0

VJ Carey

parglms: support for parallelized estimation of GLMs/GEEs

This package provides support for parallelized estimation of GLMs/GEEs, catering for dispersed data.

Authors:VJ Carey <[email protected]>

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parglms.pdf |parglms.html✨
parglms/json (API)

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

Peer review:

On BioConductor:parglms-1.37.0(bioc 3.20)parglms-1.36.0(bioc 3.19)

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

bioconductor-package

1 exports 0.82 score 31 dependencies

Last updated 2 months agofrom:f6cc8215a3

Exports:parGLM

Dependencies:backportsbase64encBatchJobsBBmiscBiocGenericsbitbit64blobbrewcachemcheckmateclicodetoolscpp11data.tableDBIdigestdoParallelfastmapforeachglueiteratorslifecyclememoisepkgconfigplogrrlangRSQLitesendmailRstringivctrs

parglms: fitting generalized linear and related models with parallel evaluation of contributions to sufficient statistics

Vincent J. Carey, stvjc at channing.harvard.edu

Rendered fromparglms.Rmdusingknitr::rmarkdownon Jun 16 2024.

Last update: 2020-10-26
Started: 2014-12-04

Readme and manuals

Help Manual

Help pageTopics
support for parallelized estimation of GLMs/GEEsparglms-package parglms
fit GLM-like models with parallelized contributions to sufficient statisticsparGLM parGLM,formula,Registry-method parGLM-methods predict predict.parglm print print.parglm summary summary.parglm