R/AFTER.R

In AFFECT: Accelerated Functional Failure Time Model with Error-Contaminated Survival Times

#' @title Accelerated Functional Failure Time Model with Error-Contaminated Survival Times
#'
#' @description The package AFFECT, referred to Accelerated Functional Failure time model with Error-Contaminated survival Times,
#'aims to recover the functional covariates under accelerated functional failure time models, where the data are
#'  subject to error-prone response and misclassified censoring status. This package primarily
#'  contains three functions. \code{data_gen} is applied to generate artificial data based on accelerated functional
#'  failure time models, including potential covariates, error-prone response and misclassified censoring status.
#'  \code{ME_correction} is used to do correction for error-prone response variable and misclassified censoring
#'  status, and \code{Boosting} is used to recover the functional covariates under accelerated functional failure time models.
#'
#' @details This package aims to estimate functional covariates under an AFT models with error-prone response and
#' and misclassified censoring status. The strategy is to derive an unbiased estimating function by the Buckley-James
#' estimator with measurement error in response and misclassification in censoring status being corrected.
#' Finally. the functional covariates as well as informative covariates under an AFT models can be derived by
#' the boosting procedure.
#' @return No return value, called for side effects.
#' @export
AFFECT <- function(){}