Provides very fast logistic regression with coefficient inferences plus other useful methods such as a forward stepwise model generator (see the benchmarks by visiting the github page at the URL below). The inputs are flexible enough to accomodate GPU computations. The coefficient estimation employs the fastLR() method in the 'RcppNumerical' package by Yixuan Qiu et al. This package allows their work to be more useful to a wider community that consumes inference.
Version: 1.2.0 Depends: R (≥ 4.0.0) Imports: RcppNumerical, Rcpp, checkmate, stats, MASS, methods LinkingTo: Rcpp, RcppEigen Published: 2023-08-08 DOI: 10.32614/CRAN.package.fastLogisticRegressionWrap Author: Adam Kapelner [aut, cre], Beau Walker [rev, dtc], Gabriel Mayer [fnd, dtc] Maintainer: Adam Kapelner <kapelner at qc.cuny.edu> BugReports: https://github.com/kapelner/fastLogisticRegressionWrap/issues License: GPL-3 URL: https://github.com/kapelner/fastLogisticRegressionWrap NeedsCompilation: yes Materials: ChangeLog CRAN checks: fastLogisticRegressionWrap results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fastLogisticRegressionWrap to link to this page.
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