Nothing
#' The Additive Weibull distribution
#'
#' @author Amylkar Urrea Montoya, \email{amylkar.urrea@@udea.edu.co}
#'
#' @description
#' Density, distribution function, quantile function,
#' random generation and hazard function for the Additive Weibull distribution
#' with parameters \code{mu}, \code{sigma}, \code{nu} and \code{tau}.
#'
#' @param x,q vector of quantiles.
#' @param p vector of probabilities.
#' @param n number of observations.
#' @param mu parameter.
#' @param sigma parameter.
#' @param nu shape parameter.
#' @param tau shape parameter.
#' @param log,log.p logical; if TRUE, probabilities p are given as log(p).
#' @param lower.tail logical; if TRUE (default), probabilities are P[X <= x], otherwise, P[X > x].
#'
#' @details
#' Additive Weibull Distribution with parameters \code{mu},
#' \code{sigma}, \code{nu} and \code{tau} has density given by
#'
#' \eqn{f(x) = (\mu\nu x^{\nu - 1} + \sigma\tau x^{\tau - 1}) \exp({-\mu x^{\nu} - \sigma x^{\tau} }),}
#'
#' for x > 0.
#'
#' @return
#' \code{dAddW} gives the density, \code{pAddW} gives the distribution
#' function, \code{qAddW} gives the quantile function, \code{rAddW}
#' generates random deviates and \code{hAddW} gives the hazard function.
#'
#' @example examples/examples_dAddW.R
#'
#' @references
#' \insertRef{almalki2014modifications}{RelDists}
#'
#' \insertRef{Xie1996}{RelDists}
#'
#' @importFrom Rdpack reprompt
#'
#' @export
dAddW <- function(x, mu, sigma,
nu, tau, log=FALSE){
if (any(x <= 0))
stop(paste("x must be positive", "\n", ""))
if (any(mu <= 0))
stop(paste("mu must be positive", "\n", ""))
if (any(sigma <= 0))
stop(paste("sigma must be positive", "\n", ""))
if (any(nu <= 0))
stop(paste("nu must be positive", "\n", ""))
if (any(tau <= 0))
stop(paste("tau must be postive", "\n", ""))
A <- mu*nu*x^(nu-1)
B <- sigma*tau*x^(tau-1)
loglik <- log(A+B) - (mu*x^(nu) + sigma*x^(tau))
if (log == FALSE)
density <- exp(loglik)
else
density <- loglik
return(density)
}
#' @export
#' @rdname dAddW
pAddW <- function(q, mu, sigma, nu, tau,
lower.tail=TRUE, log.p=FALSE){
if (any(mu <= 0))
stop(paste("mu must be positive", "\n", ""))
if (any(sigma <= 0))
stop(paste("sigma must be positive", "\n", ""))
if (any(nu <= 0))
stop(paste("nu must be positive", "\n", ""))
if (any(tau <= 0))
stop(paste("tau must be postive", "\n", ""))
cdf <- 1 - exp(-mu*q^(nu) - sigma*q^(tau))
if (lower.tail == TRUE)
cdf <- cdf
else cdf <- 1 - cdf
if (log.p == FALSE)
cdf <- cdf
else cdf <- log(cdf)
cdf
}
#' @export
#' @rdname dAddW
qAddW <- function(p, mu, sigma, nu, tau,
lower.tail=TRUE, log.p=FALSE){
if (any(mu <= 0))
stop(paste("mu must be positive", "\n", ""))
if (any(sigma <= 0))
stop(paste("sigma must be positive", "\n", ""))
if (any(nu <= 0))
stop(paste("nu must be positive", "\n", ""))
if (any(tau <= 0))
stop(paste("tau must be postive", "\n", ""))
if (log.p == TRUE)
p <- exp(p)
else p <- p
if (lower.tail == TRUE)
p <- p
else p <- 1 - p
if (any(p < 0) | any(p > 1))
stop(paste("p must be between 0 and 1", "\n", ""))
fda <- function(x, mu, sigma, nu, tau){
1 - exp(-mu*x^(nu)-sigma*x^(tau))
}
fda1 <- function(x, mu, sigma, nu, tau, p) {
fda(x, mu, sigma, nu, tau) - p
}
r_de_la_funcion <- function(mu, sigma, nu, tau, p) {
uniroot(fda1, interval=c(0, 1e+06), mu, sigma, nu, tau, p)$root
}
r_de_la_funcion <- Vectorize(r_de_la_funcion)
q <- r_de_la_funcion(mu, sigma, nu, tau, p)
q
}
#' @importFrom stats runif
#' @export
#' @rdname dAddW
rAddW <- function(n, mu, sigma, nu, tau){
if (any(mu <= 0))
stop(paste("mu must be positive", "\n", ""))
if (any(sigma <= 0))
stop(paste("sigma must be positive", "\n", ""))
if (any(nu <= 0))
stop(paste("nu must be positive", "\n", ""))
if (any(tau <= 0))
stop(paste("tau must be postive", "\n", ""))
n <- ceiling(n)
p <- runif(n)
r <- qAddW(p, mu, sigma, nu, tau)
r
}
#' @export
#' @rdname dAddW
hAddW <- function(x, mu, sigma, nu, tau){
if (any(x <= 0))
stop(paste("x must be positive", "\n", ""))
if (any(mu <= 0))
stop(paste("mu must be positive", "\n", ""))
if (any(sigma <= 0))
stop(paste("sigma must be positive", "\n", ""))
if (any(nu <= 0))
stop(paste("nu must be positive", "\n", ""))
if (any(tau <= 0))
stop(paste("tau must be postive", "\n", ""))
h <- dAddW(x, mu, sigma, nu, tau, log=FALSE) /
pAddW(q=x, mu, sigma, nu, tau, lower.tail=FALSE, log.p=FALSE)
h
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.