posterior_probs

means

list of covariance matrices for each class

covs

list of prior probabilities for each class

priors

Computes posterior probabilities via Bayes Theorem under normality

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>.

posterior_probs: Computes posterior probabilities via Bayes Theorem under normality

Description

Usage

Arguments

Value