Hurdle {brms} R Documentation

## Hurdle Distributions

### Description

Density and distribution functions for hurdle distributions.

### Usage

dhurdle_poisson(x, lambda, hu, log = FALSE)

phurdle_poisson(q, lambda, hu, lower.tail = TRUE, log.p = FALSE)

dhurdle_negbinomial(x, mu, shape, hu, log = FALSE)

phurdle_negbinomial(q, mu, shape, hu, lower.tail = TRUE, log.p = FALSE)

dhurdle_gamma(x, shape, scale, hu, log = FALSE)

phurdle_gamma(q, shape, scale, hu, lower.tail = TRUE, log.p = FALSE)

dhurdle_lognormal(x, mu, sigma, hu, log = FALSE)

phurdle_lognormal(q, mu, sigma, hu, lower.tail = TRUE, log.p = FALSE)


### Arguments

 x Vector of quantiles. hu hurdle probability log Logical; If TRUE, values are returned on the log scale. q Vector of quantiles. lower.tail Logical; If TRUE (default), return P(X <= x). Else, return P(X > x) . log.p Logical; If TRUE, values are returned on the log scale. mu, lambda location parameter shape shape parameter sigma, scale scale parameter

### Details

The density of a hurdle distribution can be specified as follows. If x = 0 set f(x) = \theta. Else set f(x) = (1 - \theta) * g(x) / (1 - G(0)) where g(x) and G(x) are the density and distribution function of the non-hurdle part, respectively.

[Package brms version 2.17.0 Index]