Introduction | Illustration with a data.frame: dispersal and analysis | Illustration with geuvStore2
Package: parglms 1.45.0
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:
parglms_1.45.0.tar.gz
parglms_1.45.0.zip(r-4.7)parglms_1.45.0.zip(r-4.6)parglms_1.45.0.zip(r-4.5)
parglms_1.45.0.tgz(r-4.6-any)parglms_1.45.0.tgz(r-4.5-any)
parglms_1.45.0.tar.gz(r-4.7-any)parglms_1.45.0.tar.gz(r-4.6-any)
parglms_1.45.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
parglms/json (API)
| # Install 'parglms' in R: |
| install.packages('parglms', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:parglms-1.45.0(bioc 3.24)parglms-1.44.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:cb1af4d0eb. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 136 | ||
| linux-devel-x86_64 | NOTE | 213 | ||
| source / vignettes | OK | 237 | ||
| linux-release-x86_64 | NOTE | 214 | ||
| macos-release-arm64 | NOTE | 114 | ||
| macos-oldrel-arm64 | NOTE | 87 | ||
| windows-devel | NOTE | 144 | ||
| windows-release | NOTE | 120 | ||
| windows-oldrel | NOTE | 120 | ||
| wasm-release | OK | 158 |
Exports:parGLM
Dependencies:backportsbase64encBatchJobsBBmiscBiocGenericsbitbit64blobbrewcachemcheckmateclicodetoolscpp11data.tableDBIdigestdoParallelfastmapforeachgenericsglueiteratorslifecyclememoisepkgconfigrlangRSQLitesendmailRstringivctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| support for parallelized estimation of GLMs/GEEs | parglms-package parglms |
| fit GLM-like models with parallelized contributions to sufficient statistics | parGLM parGLM,formula,Registry-method parGLM-methods predict predict.parglm print print.parglm summary summary.parglm |
