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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 |
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 |
Reference manual: | fastLogisticRegressionWrap.pdf |
Package source: | fastLogisticRegressionWrap_1.2.0.tar.gz |
Windows binaries: | r-devel: fastLogisticRegressionWrap_1.2.0.zip, r-release: fastLogisticRegressionWrap_1.2.0.zip, r-oldrel: fastLogisticRegressionWrap_1.2.0.zip |
macOS binaries: | r-release (arm64): fastLogisticRegressionWrap_1.2.0.tgz, r-oldrel (arm64): fastLogisticRegressionWrap_1.2.0.tgz, r-release (x86_64): fastLogisticRegressionWrap_1.2.0.tgz, r-oldrel (x86_64): fastLogisticRegressionWrap_1.2.0.tgz |
Old sources: | fastLogisticRegressionWrap archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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