eigen_det

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.

Adam Kapelner

fastLogisticRegressionWrap

Fast Logistic Regression Wrapper

Beau Walker

Gabriel Mayer

eigen_det function

<dl><dt>X</dt>
<dd>A numeric matrix of size p x p</dd>
<dt>num_cores</dt>
<dd>The number of cores to use. Unless p is large, keep to the default of 1.</dd></dl>

Arguments

A fast det(X) function — eigen_det

<dl>

<dt>X</dt>
<dd>A numeric matrix of size p x p</dd>


<dt>num_cores</dt>
<dd>The number of cores to use. Unless p is large, keep to the default of 1.</dd>

</dl>

eigen_det: A fast det(X) function

Description

Usage

Value

Arguments

Examples