#' Regularized discriminant analysis via klaR
#'
#' [klaR::rda()] fits a a model that estimates a multivariate
#' distribution for the predictors separately for the data in each class. The
#' structure of the model can be LDA, QDA, or some amalgam of the two. Bayes'
#' theorem is used to compute the probability of each class, given the
#' predictor values.
#'
#' @includeRmd man/rmd/discrim_regularized_klaR.md details
#'
#' @name details_discrim_regularized_klaR
#' @keywords internal
NULL
# See inst/README-DOCS.md for a description of how these files are processed
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.