R/HSPSModelR.R

In BYUIDSS/HSPSModelR: Machine Learning Model Selection of Cognostic Data

#' HSPSModelR: A package for producing a robust prediction model using machine
#' learning to predict attrition of eClaims customers.
#'
#' THis package was made for Henry Schein, but it's meant to make the caret functions simpler and easier, and to build out a list of machine learning models that can either be used in an ensemble, or just use the one with the best predictors.
#'
#' @section Functions:
#' \code{preprocess_data}
#'
#' \code{gg_var_imp}
#'
#' \code{var_imp_overall}
#'
#' \code{var_imp_raw}
#'
#' \code{install_train_packages}
#'
#' \code{extract_measures}
#'
#' \code{get_common_predictions}
#'
#' \code{get_performance}
#'
#' \code{make_list}
#'
#' \code{make_table}
#'
#' \code{run_models}
#'
#' @docType package
#' @name HSPSModelR
NULL