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.
Version: 0.0.3 Depends: bigmemory Imports: Rcpp (≥ 0.12.13), methods LinkingTo: Rcpp, RcppEigen, BH, bigmemory Suggests: knitr, rmarkdown, glm2 Published: 2022-05-23 DOI: 10.32614/CRAN.package.fastglm Author: Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph] Maintainer: Jared Huling <jaredhuling at gmail.com> BugReports: https://github.com/jaredhuling/fastglm/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Materials: README CRAN checks: fastglm results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=fastglm to link to this page.
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