#' @name LW
#'
#' @title
#' The Log-Weibull Distribution
#'
#' @description
#' Density, distribution function, quantile function,
#' random generation and hazard function for the log-weibull distribution with
#' parameters \code{a} and \code{b}.
#'
#' @param x,q vector of quantiles.
#' @param p vector of probabilities.
#' @param n number of observations.
#' @param a parameter one.
#' @param b parameter two.
#' @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
#' The log-weibull distribution with parameters \code{a} and
#' \code{b} has density given by
#'
#' f(x)= (1/b)*exp((x-a)/b)*exp(-exp((x-a)/b))
#'
#' for -Inf < x < Inf.
#'
#' @return
#' \code{dLW} gives the density, \code{pLW} gives the distribution
#' function, \code{qLW} gives the quantile function, \code{rLW}
#' generates random deviates and \code{hLW} gives the hazard function.
#'
#' @export
#' @examples
#' ## The probability density function
#' curve(dLW(x, a = 0, b = 1), from = -20, to = 10, ylim = c(0, 0.4), col = "red", las = 1, ylab = "The probability density function")
#'
#' ## The cumulative distribution and the Reliability function
#' par(mfrow = c(1, 2))
#' curve(pLW(x, a = 0, b = 1), from = 0, to = 10, ylim = c(0, 1), col = "red", las = 1, ylab = "The cumulative distribution function")
#' curve(pLW(x, a = 0, b = 1, lower.tail = FALSE), from = 0, to = 10, ylim = c(0, 1), col = "red", las = 1, ylab = "The Reliability function")
#'
#' ## The quantile function
#' p <- seq(from = 0, to = 0.998, length.out = 100)
#' plot(x=qLW(p, a = 0, b = 1), y = p, xlab = "Quantile", las = 1, ylab = "Probability")
#' curve(pLW(x, a = 0, b = 1), from = -6, add = TRUE, col = "red")
#'
#' ## The random function
#' hist(rLW(10000, a = 0, b = 1), freq = FALSE, ylim = c(0, 0.4), xlab = "x", las = 1, main = "")
#' curve(dLW(x, a = 0, b = 1), from = -20, to = 10, ylim = c(0, 0.4), add = TRUE, col = "red")
#'
#' ## The Hazard function
#' curve(hLW(x, a = 0, b = 1), from = -20, to = 0, ylim = c(0, 0.3), col = "red", ylab = "The hazard function", las = 1)
#'
dLW<-function(x,a,b, log = FALSE){
if (any(b<=0))
stop(paste("lambda must be positive", "\n", ""))
loglik<- -log(b) + (x-a)/b - exp((x-a)/b)
if (log == FALSE)
density<- exp(loglik)
else
density <- loglik
return(density)
}
#' @export
#' @rdname LW
pLW <- function(q,a,b, lower.tail=TRUE, log.p = FALSE){
if (any(b<=0))
stop(paste("b must be positive", "\n", ""))
cdf <- 1-exp(-exp((q-a)/b))
if (lower.tail == TRUE)
cdf <- cdf
else cdf <- 1 - cdf
if (log.p == FALSE)
cdf <- cdf
else cdf <- log(cdf)
cdf
}
#' @export
#' @rdname LW
qLW <- function(p,a,b, lower.tail = TRUE, log.p = FALSE){
if (any(b<=0))
stop(paste("b must be positive", "\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", ""))
q <- b*(log(-log(1-p)))+a
q
}
#' @export
#' @rdname LW
rLW <- function(n,a,b){
if(any(n<=0))
stop(paste("n must be positive","\n",""))
if (any(b<=0))
stop(paste("b must be positive", "\n", ""))
n <- ceiling(n)
p <- runif(n)
r <- qLW(p,a,b)
r
}
#' @export
#' @rdname LW
hLW<-function(x,a,b){
if (any(b<=0))
stop(paste("lambda must be positive", "\n", ""))
h <- dLW(x,a,b, log = FALSE)/pLW(q=x,a,b, lower.tail=FALSE, log.p = FALSE)
h
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.