parglm v0.1.6
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Parallel GLM
Provides a parallel estimation method for generalized
linear models without compiling with a multithreaded LAPACK or BLAS.
Readme
parglm
The parglm package provides a parallel estimation method for generalized
linear models without compiling with a multithreaded LAPACK or BLAS. You can install
it from Github by calling:
devtools::install_github("boennecd/parglm")
or from CRAN by calling:
install.packages("parglm")
See the vignettes/parglm.html for an example of run times and further details.
Functions in parglm
| Name | Description | |
| parglm.control | Auxiliary for Controlling GLM Fitting in Parallel | |
| parglm | Fitting Generalized Linear Models in Parallel | |
| No Results! | ||
Vignettes of parglm
| Name | ||
| parglm.html.asis | ||
| No Results! | ||
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Details
| Type | Package |
| License | GPL-2 |
| Encoding | UTF-8 |
| LazyData | true |
| LinkingTo | Rcpp, RcppArmadillo |
| SystemRequirements | C++11 |
| RoxygenNote | 6.1.1 |
| VignetteBuilder | R.rsp |
| NeedsCompilation | yes |
| Packaged | 2020-08-06 12:04:03 UTC; boennecd |
| Repository | CRAN |
| Date/Publication | 2020-08-10 17:10:10 UTC |
| suggests | knitr , microbenchmark , R.rsp , rmarkdown , speedglm , SuppDists , testthat |
| imports | Matrix , Rcpp |
| linkingto | RcppArmadillo |
| Contributors | Anthony Williams, Boost developers |
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