<p>a constant specified by the user that indicates the exponent to use
with the variance estimator. By default, t = -1 as in Pang et al. See the
paper for more details.</p>

<p>This function computes the function \(h_{\nu, p}(t)\) on page 1023 of Pang
et al. (2009).</p>

A collection of sparse and regularized discriminant analysis
methods intended for small-sample, high-dimensional data sets. The package
features the High-Dimensional Regularized Discriminant Analysis classifier
from Ramey et al. (2017) <arXiv:1602.01182>. Other classifiers include
those from Dudoit et al. (2002) <doi:10.1198/016214502753479248>, Pang et
al. (2009) <doi:10.1111/j.1541-0420.2009.01200.x>, and Tong et al. (2012)
<doi:10.1093/bioinformatics/btr690>.

Max Kuhn

sparsediscrim

h: Bias correction function from Pang et al. (2009).

Description

Usage

Arguments

Value

References