R/RcppExports.R

In boodist: Some Distributions from the 'Boost' Library and More

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

rcpp_dgumbel <- function(x, a, b, log) {
    .Call(`_boodist_rcpp_dgumbel`, x, a, b, log)
}

rcpp_pgumbel <- function(q, a, b, lower) {
    .Call(`_boodist_rcpp_pgumbel`, q, a, b, lower)
}

rcpp_qgumbel <- function(p, a, b, lower) {
    .Call(`_boodist_rcpp_qgumbel`, p, a, b, lower)
}

gumbel_mean <- function(a, b) {
    .Call(`_boodist_gumbel_mean`, a, b)
}

gumbel_median <- function(a, b) {
    .Call(`_boodist_gumbel_median`, a, b)
}

gumbel_mode <- function(a, b) {
    .Call(`_boodist_gumbel_mode`, a, b)
}

gumbel_sd <- function(a, b) {
    .Call(`_boodist_gumbel_sd`, a, b)
}

gumbel_skewness <- function(a, b) {
    .Call(`_boodist_gumbel_skewness`, a, b)
}

gumbel_kurtosis <- function(a, b) {
    .Call(`_boodist_gumbel_kurtosis`, a, b)
}

gumbel_kurtosis_excess <- function(a, b) {
    .Call(`_boodist_gumbel_kurtosis_excess`, a, b)
}

rcpp_dt <- function(x, nu, delta) {
    .Call(`_boodist_rcpp_dt`, x, nu, delta)
}

rcpp_pt <- function(q, nu, delta, lower) {
    .Call(`_boodist_rcpp_pt`, q, nu, delta, lower)
}

rcpp_qt <- function(p, nu, delta, lower) {
    .Call(`_boodist_rcpp_qt`, p, nu, delta, lower)
}

t_mean <- function(nu, delta) {
    .Call(`_boodist_t_mean`, nu, delta)
}

t_variance <- function(nu, delta) {
    .Call(`_boodist_t_variance`, nu, delta)
}

t_skewness <- function(nu, delta) {
    .Call(`_boodist_t_skewness`, nu, delta)
}

t_kurtosis <- function(nu, delta) {
    .Call(`_boodist_t_kurtosis`, nu, delta)
}

t_kurtosis_excess <- function(nu, delta) {
    .Call(`_boodist_t_kurtosis_excess`, nu, delta)
}

find_chisq_ncp <- function(nu, q, p) {
    .Call(`_boodist_find_chisq_ncp`, nu, q, p)
}

find_chisq_df <- function(delta, q, p) {
    .Call(`_boodist_find_chisq_df`, delta, q, p)
}

rgig_rcpp <- function(n, lambda, omega) {
    .Call(`_boodist_rgig_rcpp`, n, lambda, omega)
}

pgig_rcpp <- function(q, theta, eta, lambda) {
    .Call(`_boodist_pgig_rcpp`, q, theta, eta, lambda)
}

qgig_rcpp <- function(p, g_a, g_b, theta, eta, lambda) {
    .Call(`_boodist_qgig_rcpp`, p, g_a, g_b, theta, eta, lambda)
}

rcpp_dhexp <- function(x, probs, rates) {
    .Call(`_boodist_rcpp_dhexp`, x, probs, rates)
}

rcpp_phexp <- function(q, probs, rates, lower) {
    .Call(`_boodist_rcpp_phexp`, q, probs, rates, lower)
}

rcpp_qhexp <- function(p, probs, rates, lower) {
    .Call(`_boodist_rcpp_qhexp`, p, probs, rates, lower)
}

hexp_mean <- function(probs, rates) {
    .Call(`_boodist_hexp_mean`, probs, rates)
}

hexp_mode <- function(probs, rates) {
    .Call(`_boodist_hexp_mode`, probs, rates)
}

hexp_variance <- function(probs, rates) {
    .Call(`_boodist_hexp_variance`, probs, rates)
}

hexp_skewness <- function(probs, rates) {
    .Call(`_boodist_hexp_skewness`, probs, rates)
}

hexp_kurtosis <- function(probs, rates) {
    .Call(`_boodist_hexp_kurtosis`, probs, rates)
}

hexp_kurtosis_excess <- function(probs, rates) {
    .Call(`_boodist_hexp_kurtosis_excess`, probs, rates)
}

rcpp_dig <- function(x, mu, lambda, log) {
    .Call(`_boodist_rcpp_dig`, x, mu, lambda, log)
}

rcpp_pig <- function(q, mu, lambda, lower) {
    .Call(`_boodist_rcpp_pig`, q, mu, lambda, lower)
}

rcpp_qig <- function(p, mu, lambda, lower) {
    .Call(`_boodist_rcpp_qig`, p, mu, lambda, lower)
}

ig_mean <- function(mu, lambda) {
    .Call(`_boodist_ig_mean`, mu, lambda)
}

ig_median <- function(mu, lambda) {
    .Call(`_boodist_ig_median`, mu, lambda)
}

ig_mode <- function(mu, lambda) {
    .Call(`_boodist_ig_mode`, mu, lambda)
}

ig_variance <- function(mu, lambda) {
    .Call(`_boodist_ig_variance`, mu, lambda)
}

ig_skewness <- function(mu, lambda) {
    .Call(`_boodist_ig_skewness`, mu, lambda)
}

ig_kurtosis <- function(mu, lambda) {
    .Call(`_boodist_ig_kurtosis`, mu, lambda)
}

ig_kurtosis_excess <- function(mu, lambda) {
    .Call(`_boodist_ig_kurtosis_excess`, mu, lambda)
}

pnig_rcpp <- function(q, mu, alpha, beta, delta) {
    .Call(`_boodist_pnig_rcpp`, q, mu, alpha, beta, delta)
}

qnig_rcpp <- function(p, tan_a, tan_b, mu, alpha, beta, delta) {
    .Call(`_boodist_qnig_rcpp`, p, tan_a, tan_b, mu, alpha, beta, delta)
}

rcpp_dskewNormal <- function(x, xi, omega, alpha) {
    .Call(`_boodist_rcpp_dskewNormal`, x, xi, omega, alpha)
}

rcpp_pskewNormal <- function(q, xi, omega, alpha, lower) {
    .Call(`_boodist_rcpp_pskewNormal`, q, xi, omega, alpha, lower)
}

rcpp_qskewNormal <- function(p, xi, omega, alpha, lower) {
    .Call(`_boodist_rcpp_qskewNormal`, p, xi, omega, alpha, lower)
}

skewNormal_mean <- function(xi, omega, alpha) {
    .Call(`_boodist_skewNormal_mean`, xi, omega, alpha)
}

skewNormal_mode <- function(xi, omega, alpha) {
    .Call(`_boodist_skewNormal_mode`, xi, omega, alpha)
}

skewNormal_variance <- function(xi, omega, alpha) {
    .Call(`_boodist_skewNormal_variance`, xi, omega, alpha)
}

skewNormal_skewness <- function(xi, omega, alpha) {
    .Call(`_boodist_skewNormal_skewness`, xi, omega, alpha)
}

skewNormal_kurtosis <- function(xi, omega, alpha) {
    .Call(`_boodist_skewNormal_kurtosis`, xi, omega, alpha)
}

skewNormal_kurtosis_excess <- function(xi, omega, alpha) {
    .Call(`_boodist_skewNormal_kurtosis_excess`, xi, omega, alpha)
}