#' @name RW
#'
#' @title
#' The Reflected Weibull Distribution
#'
#' @description
#' Density, distribution function, quantile function,
#' random generation and hazard function for the reflected weibull distribution with
#' parameters \code{alpha} and \code{theta}.
#'
#' @param x,q vector of quantiles.
#' @param p vector of probabilities.
#' @param n number of observations.
#' @param alpha parameter one.
#' @param theta 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 reflected weibull distribution with parameters \code{alpha} and
#' \code{theta} has density given by
#'
#' f(x) = alpha*theta*(-x)^(theta-1)*exp(-alpha*(-x)^alpha)
#'
#' for - inf < x < 0.
#'
#' @return
#' \code{dRW} gives the density, \code{pRW} gives the distribution
#' function, \code{qRW} gives the quantile function, \code{rRW}
#' generates random deviates and \code{hRW} gives the hazard function.
#'
#' @export
#' @examples
#' ## The probability density function
#' curve(dRW(x, alpha = 1, theta = 1), from = -5, to = 0, ylim = c(0, 1), col = "red", las = 1, ylab = "The probability density function")
#'
#' ## The cumulative distribution and the Reliability function
#' par(mfrow = c(1, 2))
#' curve(pRW(x, alpha = 1, theta = 1), from = -5, to = 0, ylim = c(0, 1), col = "red", las = 1, ylab ="The cumulative distribution function")
#' curve(pRW(x, alpha = 1, theta = 1, lower.tail = FALSE), from = -5, to = 0, ylim = c(0, 1), col = "red", las = 1, ylab = "The Reliability function")
#'
#' ## The quantile function
#' p <- seq(from = 0, to = 0.99999, length.out = 100)
#' plot(x=qRW(p=p,alpha = 1, theta = 1), y=p, xlab="Quantile", las=1, ylab="Probability")
#' curve(pRW(x, alpha = 1, theta = 1), from = -5, add = TRUE, col = "red")
#'
#' ## The random function
#' hist(rRW(n = 10000, alpha = 1, theta = 1), freq = FALSE,xlab = "x", las = 1, main = "")
#' curve(dRW(x, alpha = 1, theta = 1), from = -5, to = 0, add = TRUE, col = "red")
#'
#' ## The Hazard function
#' curve(hRW(x, alpha = 1, theta = 1), from = -5, to = 0, ylim = c(0, 1), col = "red", ylab = "The hazard function", las = 1)
dRW<-function(x,alpha,theta, log=FALSE){
if (any(x>0))
stop(paste("x must be negative", "\n", ""))
if (any(alpha <= 0 ))
stop(paste("alpha must be positive", "\n", ""))
if (any(theta<=0))
stop(paste("theta must be positive", "\n", ""))
loglik<- log(alpha) + log(theta) + (theta-1)*log(-x) -
alpha*((-x)^theta)
if (log == FALSE)
density<- exp(loglik)
else
density <- loglik
return(density)
}
#' @export
#' @rdname RW
pRW <- function(q,alpha,theta, lower.tail=TRUE, log.p = FALSE){
# if (any(q<0))
# stop(paste("q must be positive", "\n", ""))
if (any(alpha <= 0 ))
stop(paste("alpha must be positive", "\n", ""))
if (any(theta<=0))
stop(paste("theta must be positive", "\n", ""))
cdf <- exp(-alpha*(-q)^theta)
if (lower.tail == TRUE)
cdf <- cdf
else cdf <- 1 - cdf
if (log.p == FALSE)
cdf <- cdf
else cdf <- log(cdf)
cdf
}
#' @export
#' @rdname RW
qRW <- function(p,alpha,theta, lower.tail = TRUE, log.p = FALSE){
if (any(alpha <= 0 ))
stop(paste("alpha must be positive", "\n", ""))
if (any(theta<=0))
stop(paste("theta 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 <- -{((-1/alpha)*log(p))^(1/theta)}
q
}
#' @export
#' @rdname RW
rRW <- function(n,alpha,theta){
if(any(n<=0))
stop(paste("n must be positive","\n",""))
if (any(alpha<=0 ))
stop(paste("alpha must be positive", "\n", ""))
if (any(theta<=0))
stop(paste("theta must be positive", "\n", ""))
n <- ceiling(n)
p <- runif(n)
r <- qRW(p,alpha,theta)
r
}
#' @export
#' @rdname RW
hRW<-function(x,alpha,theta){
if (any(x>0))
stop(paste("x must be negative", "\n", ""))
if (any(alpha <= 0 ))
stop(paste("alpha must be positive", "\n", ""))
if (any(theta<=0))
stop(paste("theta must be positive", "\n", ""))
h <- dRW(x,alpha,theta, log = FALSE)/pRW(q=x,alpha,theta, lower.tail=FALSE, log.p = FALSE)
h
}
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