#' Linear discriminant analysis via MASS
#'
#' [MASS::lda()] fits a model that estimates a multivariate
#' distribution for the predictors separately for the data in each class
#' (Gaussian with a common covariance matrix). Bayes' theorem is used
#' to compute the probability of each class, given the predictor values.
#'
#' @includeRmd man/rmd/discrim_linear_MASS.md details
#'
#' @name details_discrim_linear_MASS
#' @keywords internal
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# See inst/README-DOCS.md for a description of how these files are processed
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