Package: fastLogisticRegressionWrap Type: Package Title: Fast Logistic Regression Wrapper Date: 2025-02-18 Version: 1.2.2 Authors@R: c( person("Adam", "Kapelner", email = "kapelner@qc.cuny.edu", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0001-5985-6792")), person("Beau", "Walker", email = "beau@methoddatascience.com", role = c("rev", "dtc"), comment = c(ORCID = "0000-0001-7872-4007")), person("Gabriel", "Mayer", email = "gmayer@revelartechnologies.com", role = c("fnd", "dtc")) ) License: GPL-3 Description: 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. X-schema.org-keywords: logistic-regression, generalized-linear-models, binary-classification, statistical-inference, maximum-likelihood, model-selection, stepwise-selection, aic, prediction, high-performance-computing, gpu-computing, rcpp Encoding: UTF-8 Depends: R (>= 4.0.0) Imports: RcppNumerical, Rcpp, checkmate, stats, MASS, methods LinkingTo: Rcpp, RcppEigen URL: https://kapelner.github.io/fastLogisticRegressionWrap/, https://github.com/kapelner/fastLogisticRegressionWrap, https://kapelner.r-universe.dev/fastLogisticRegressionWrap BugReports: https://github.com/kapelner/fastLogisticRegressionWrap/issues RoxygenNote: 7.3.2 Config/Needs/website: pkgdown Repository: https://kapelner.r-universe.dev Date/Publication: 2026-09-03 08:10:09 UTC RemoteUrl: https://github.com/kapelner/fastLogisticRegressionWrap RemoteRef: HEAD RemoteSha: a1a842d2bea73f18ec466f5c73489ae933509b68 RemoteSubdir: fastLogisticRegressionWrap NeedsCompilation: yes Packaged: 2026-09-26 10:30:57 UTC; root Author: Adam Kapelner [aut, cre, cph] (ORCID: ), Beau Walker [rev, dtc] (ORCID: ), Gabriel Mayer [fnd, dtc] Maintainer: Adam Kapelner