fastLogisticRegressionWrap: Fast Logistic Regression Wrapper

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
Author: Adam Kapelner ORCID iD [aut, cre], Beau Walker ORCID iD [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:

Reference manual: fastLogisticRegressionWrap.pdf

Downloads:

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
Old sources: fastLogisticRegressionWrap archive

Linking:

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