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.


Reference manual

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install.packages("fastLogisticRegressionWrap")

1.2.0 by Adam Kapelner, 3 years ago


https://github.com/kapelner/fastLogisticRegressionWrap


Report a bug at https://github.com/kapelner/fastLogisticRegressionWrap/issues


Browse source code at https://github.com/cran/fastLogisticRegressionWrap


Authors: Adam Kapelner [aut, cre] , Beau Walker [rev, dtc] , Gabriel Mayer [fnd, dtc]


Documentation:   PDF Manual  


GPL-3 license


Imports RcppNumerical, Rcpp, checkmate, stats, MASS, methods

Linking to Rcpp, RcppEigen


Imported by bayespmtools, bclogit.


See at CRAN