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fastLogisticRegressionWrap (version 1.2.0)

Fast Logistic Regression Wrapper

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.

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Install

install.packages('fastLogisticRegressionWrap')

Monthly Downloads

195

Version

1.2.0

License

GPL-3

Issues

Pull Requests

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Maintainer

Adam Kapelner

Last Published

August 8th, 2023

Functions in fastLogisticRegressionWrap (1.2.0)

general_confusion_results

General Confusion Table and Errors
asymmetric_cost_explorer

Asymmetric Cost Explorer
confusion_results

Binary Confusion Table and Errors
predict.fast_logistic_regression_stepwise

FastLR Wrapper Predictions
predict.fast_logistic_regression

FastLR Wrapper Predictions
fast_logistic_regression

FastLR Wrapper
fastLogisticRegressionWrap

A Wrapper for FastLR
print.fast_logistic_regression_stepwise

FastLR Wrapper Print
print.fast_logistic_regression

FastLR Wrapper Print
fast_logistic_regression_stepwise_forward

Rapid Forward Stepwise Logistic Regression
eigen_compute_single_entry_of_diagonal_matrix

Compute Single Value of the Diagonal of a Symmetric Matrix's Inverse
eigen_det

A fast det(X) function
eigen_Xt_times_diag_w_times_X

A fast Xt [times] diag(w) [times] X function
eigen_inv

A fast solve(X) function
summary.fast_logistic_regression

FastLR Wrapper Summary
summary.fast_logistic_regression_stepwise

FastLR Wrapper Summary