R/fmrs-package.R

#' @title Variable Selection in Finite Mixture of AFT Regression and
#'     FMR
#'
#' @description Provides parameter estimation and variable selection in
#'     FMRs models. The
#'     \code{\link{fmrs.mle}} method provides Maximum Likelihood Estimation
#'     for FMRs models. The \code{\link{fmrs.tunsel}} method provides
#'     component-wise tuning parameters. The \code{\link{fmrs.varsel}}
#'     method provides variable selection for FMRs models.
#' @aliases fmrs
#' @section \code{fmrs} methods:
#' \code{\link{fmrs.mle}},
#' \code{\link{fmrs.tunsel}},
#' \code{\link{fmrs.varsel}},
#' \code{\link{fmrs.gendata}}.
#' @section \code{fmrs} objects:
#' \code{\link{fmrsfit-class}},
#' \code{\link{fmrstunpar-class}}
#'
#' @docType package
#' @name fmrs-package
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fmrs documentation built on May 2, 2019, 4:18 a.m.