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fastLogisticRegressionWrap
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Download and install fastLogisticRegressionWrap package within the R console
Install from CRAN:
install.packages("fastLogisticRegressionWrap")
Install from Github:
library("remotes")
install_github("cran/fastLogisticRegressionWrap") Install by package version:
library("remotes")
install_version("fastLogisticRegressionWrap", "1.2.0") Attach the package and use:
library("fastLogisticRegressionWrap")
Maintained by
Adam Kapelner
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-07
Latest Update: 2023-08-08
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.
How to cite:
Adam Kapelner (2023). fastLogisticRegressionWrap: Fast Logistic Regression Wrapper. R package version 1.2.0, https://cran.r-project.org/web/packages/fastLogisticRegressionWrap. Accessed 05 Aug. 2026.
Previous versions and publish date:
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Complete documentation for fastLogisticRegressionWrap
Functions, R codes and Examples using
the fastLogisticRegressionWrap R package
Some associated functions: asymmetric_cost_explorer . confusion_results . eigen_Xt_times_diag_w_times_X . eigen_compute_single_entry_of_diagonal_matrix . eigen_det . eigen_inv . fastLogisticRegressionWrap . fast_logistic_regression . fast_logistic_regression_stepwise_forward . general_confusion_results . predict.fast_logistic_regression . predict.fast_logistic_regression_stepwise . print.fast_logistic_regression . print.fast_logistic_regression_stepwise . summary.fast_logistic_regression . summary.fast_logistic_regression_stepwise .
Some associated R codes: RcppExports.R . code.R . fastLogisticRegressionWrap.R . zzz.R . Full fastLogisticRegressionWrap package functions and examples
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