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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.
Package details |
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Author | Adam Kapelner [aut, cre] (<https://orcid.org/0000-0001-5985-6792>), Beau Walker [rev, dtc] (<https://orcid.org/0000-0001-7872-4007>), Gabriel Mayer [fnd, dtc] |
Maintainer | Adam Kapelner <kapelner@qc.cuny.edu> |
License | GPL-3 |
Version | 1.2.0 |
URL | https://github.com/kapelner/fastLogisticRegressionWrap |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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