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parglm
View on CRAN: Click
here
Download and install parglm package within the R console
Install from CRAN:
install.packages("parglm")
Install from Github:
library("remotes")
install_github("cran/parglm")
Install by package version:
library("remotes")
install_version("parglm", "0.1.7")
Attach the package and use:
library("parglm")
Maintained by
Benjamin Christoffersen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.parglm . https://github.com/boennecd/parglm/issues . https://github.com/boennecd/parglm . parglm results . parglm.pdf . Introduction to the parglm package . parglm_0.1.7.tar.gz . parglm_0.1.7.zip . parglm_0.1.7.zip . parglm_0.1.7.zip . parglm_0.1.7.tgz . parglm_0.1.7.tgz . parglm_0.1.7.tgz . parglm_0.1.7.tgz . parglm_0.1.7.tgz . parglm_0.1.7.tgz . parglm archive . https://CRAN.R-project.org/package=parglm .
First Published: 2018-12-09
Latest Update: 2021-10-14
Description:
Provides a parallel estimation method for generalized
linear models without compiling with a multithreaded LAPACK or BLAS.
How to cite:
Benjamin Christoffersen (2018). parglm: Parallel GLM. R package version 0.1.7, https://cran.r-project.org/web/packages/parglm. Accessed 01 Apr. 2025.
Previous versions and publish date:
Other packages that cited parglm R package
View parglm citation profile
Other R packages that parglm depends,
imports, suggests or enhances
Complete documentation for parglm
Functions, R codes and Examples using
the parglm R package
Some associated functions: parglm.control . parglm .
Some associated R codes: RcppExports.R . parglm.R . Full parglm package functions and examples
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