#' RSAVS: A package for robust subgroup analysis and variable selection.
#'
#' The RSAVS can do subgroup analysis and variable selection simultaneously and
#' it supports multiple choices of loss and penalty functions.
#' It implements the computation in a parallel manner.
#'
#' @section RSAVS functions:
#' RSAVS_Compute_BIC
#' RSAVS_Determine_Mu
#' RSAVS_Further_Improve
#' RSAVS_Generate_D_Matrix
#' loss_function: RSAVS_Huber, RSAVS_L1, RSAVS_L2
#' RSAVS_LargeN
#' RSAVS_Mu_to_Mat
#' RSAVS_RI
#' RSAVS_Summary_Iteration
#' RSAVS_S_to_Groups
#' RSAVS_Path
#' RSAVS_Path_PureR
#' RSAVS_Solver
#' RSAVS_Solver_PureR
#'
#' @section RSAVS datesets:
#' Student performance dataset: full_df, mat_df, por_df
#'
#' @name RSAVS
"_PACKAGE"
## usethis namespace: start
#' @useDynLib RSAVS, .registration = TRUE
## usethis namespace: end
NULL
## usethis namespace: start
#' @importFrom Rcpp sourceCpp
## usethis namespace: end
NULL
## usethis namespace: start
#' @import RcppEigen
## usethis namespace: end
NULL
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