R/RcppExports.R

In okamumu/Rsrat: A Software Reliability Assessment Tool with NHPP-Based Models

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

#' @rdname em
em_exp_emstep <- function(params, data) {
    .Call('_Rsrat_em_exp_emstep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_gamma_emstep <- function(params, data, divide = 15L, eps = 1.0e-10) {
    .Call('_Rsrat_em_gamma_emstep', PACKAGE = 'Rsrat', params, data, divide, eps)
}

#' @rdname em
em_llogis_emstep <- function(params, data) {
    .Call('_Rsrat_em_llogis_emstep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_llogis_estep <- function(params, data) {
    .Call('_Rsrat_em_llogis_estep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_llogis_pllf <- function(params, data, w1) {
    .Call('_Rsrat_em_llogis_pllf', PACKAGE = 'Rsrat', params, data, w1)
}

#' @rdname em
em_lnorm_emstep <- function(params, data) {
    .Call('_Rsrat_em_lnorm_emstep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_lxvmax_estep <- function(params, data) {
    .Call('_Rsrat_em_lxvmax_estep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_lxvmax_pllf <- function(params, data, w1) {
    .Call('_Rsrat_em_lxvmax_pllf', PACKAGE = 'Rsrat', params, data, w1)
}

#' @rdname em
em_lxvmin_estep <- function(params, data) {
    .Call('_Rsrat_em_lxvmin_estep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_lxvmin_pllf <- function(params, data, w1) {
    .Call('_Rsrat_em_lxvmin_pllf', PACKAGE = 'Rsrat', params, data, w1)
}

#' @rdname em
em_pareto_emstep <- function(params, data) {
    .Call('_Rsrat_em_pareto_emstep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
#' @details
#' \code{em_tlogis_emstep_mo} is an emstep based on Marshall-Olkin-type (maximum) with Exp
em_tlogis_emstep_mo <- function(params, data) {
    .Call('_Rsrat_em_tlogis_emstep_mo', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_tlogis_estep <- function(params, data) {
    .Call('_Rsrat_em_tlogis_estep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_tlogis_pllf <- function(params, data, w0, w1) {
    .Call('_Rsrat_em_tlogis_pllf', PACKAGE = 'Rsrat', params, data, w0, w1)
}

#' @rdname em
#' @details
#' \code{em_tnorm_emstep} has been modified by using EM for truncated distribution. Concretely,
#' when the distribution is truncated at origin, the expected value is given by
#' \deqn{\text{E}[h(X)|D] = \sum_{i=1}^k h(x_i) + \frac{k}{\overline{F}(0)} \int_{-\infty}^0 h(x) f(x) dx.}
em_tnorm_emstep <- function(params, data) {
    .Call('_Rsrat_em_tnorm_emstep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
#' @details
#' \code{em_txvmax_emstep_mo} is an emstep based on Marshall-Olkin-type (maximum) with Exp
em_txvmax_emstep_mo <- function(params, data) {
    .Call('_Rsrat_em_txvmax_emstep_mo', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_txvmax_estep <- function(params, data) {
    .Call('_Rsrat_em_txvmax_estep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_txvmax_pllf <- function(params, data, w0, w1) {
    .Call('_Rsrat_em_txvmax_pllf', PACKAGE = 'Rsrat', params, data, w0, w1)
}

#' @rdname em
em_txvmin_estep <- function(params, data) {
    .Call('_Rsrat_em_txvmin_estep', PACKAGE = 'Rsrat', params, data)
}

#' @rdname em
em_txvmin_pllf <- function(params, data, w0, w1) {
    .Call('_Rsrat_em_txvmin_pllf', PACKAGE = 'Rsrat', params, data, w0, w1)
}

#' @rdname gumbel
#' @export
dgumbel <- function(x, loc = 0, scale = 1, log = FALSE, min = FALSE) {
    .Call('_Rsrat_dgumbel', PACKAGE = 'Rsrat', x, loc, scale, log, min)
}

#' @rdname gumbel
#' @export
pgumbel <- function(q, loc = 0, scale = 1, lower = TRUE, log = FALSE, min = FALSE) {
    .Call('_Rsrat_pgumbel', PACKAGE = 'Rsrat', q, loc, scale, lower, log, min)
}

#' @rdname gumbel
#' @export
qgumbel <- function(p, loc = 0, scale = 1, lower = TRUE, log = FALSE, min = FALSE) {
    .Call('_Rsrat_qgumbel', PACKAGE = 'Rsrat', p, loc, scale, lower, log, min)
}

#' @rdname gumbel
#' @export
rgumbel <- function(n, loc = 0, scale = 1, min = FALSE) {
    .Call('_Rsrat_rgumbel', PACKAGE = 'Rsrat', n, loc, scale, min)
}