RTMBdist (version 1.0.1)

ziinvgauss: Zero-inflated inverse Gaussian distribution

Description

Density, distribution function, and random generation for the zero-inflated inverse Gaussian distribution.

Usage

dziinvgauss(x, mean = 1, shape = 1, zeroprob = 0, log = FALSE)
pziinvgauss(q, mean = 1, shape = 1, zeroprob = 0, lower.tail = TRUE, log.p = FALSE)
rziinvgauss(n, mean = 1, shape = 1, zeroprob = 0)

Value

dziinvgauss gives the density, pziinvgauss gives the distribution function, and rziinvgauss generates random deviates.

Arguments

x, q

vector of quantiles

mean

location parameter

shape

shape parameter, must be positive.

zeroprob

zero-probability, must be in \([0, 1]\).

log, log.p

logical; if TRUE, probabilities/ densities \(p\) are returned as \(\log(p)\).

lower.tail

logical; if TRUE, probabilities are \(P[X \le x]\), otherwise, \(P[X > x]\).

n

number of random values to return

Details

This implementation of zidinvgauss allows for automatic differentiation with RTMB.

Examples

x <- rziinvgauss(1, 1, 2, 0.5)
d <- dziinvgauss(x, 1, 2, 0.5)
p <- pziinvgauss(x, 1, 2, 0.5)