R/discrim_regularized_klaR.R

In parsnip: A Common API to Modeling and Analysis Functions

#' 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
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# See inst/README-DOCS.md for a description of how these files are processed