Package: fastglm 0.0.3

fastglm: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'

Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard against convergence issues.

Authors:Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph]

fastglm_0.0.3.tar.gz
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fastglm.pdf |fastglm.html✨
fastglm/json (API)

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

Peer review:

Bug tracker:https://github.com/jaredhuling/fastglm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

8.28 score 57 stars 12 packages 49 scripts 3.8k downloads 1 mentions 2 exports 6 dependencies

Last updated 2 years agofrom:9a04daa4a9. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-win-x86_64NOTEOct 27 2024
R-4.5-linux-x86_64NOTEOct 27 2024
R-4.4-win-x86_64NOTEOct 27 2024
R-4.4-mac-x86_64NOTEOct 27 2024
R-4.4-mac-aarch64NOTEOct 27 2024
R-4.3-win-x86_64NOTEOct 27 2024
R-4.3-mac-x86_64NOTEOct 27 2024
R-4.3-mac-aarch64NOTEOct 27 2024

Exports:fastglmfastglmPure

Dependencies:BHbigmemorybigmemory.sriRcppRcppEigenuuid

Quick Usage Guide to the 'fastglm' Package

Jared Huling

Rendered fromquick-usage-guide-to-the-fastglm-package.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2019-03-08
Started: 2019-03-01