ZeroInflated {brms} R Documentation

## Zero-Inflated Distributions

### Description

Density and distribution functions for zero-inflated distributions.

### Usage

dzero_inflated_poisson(x, lambda, zi, log = FALSE)

pzero_inflated_poisson(q, lambda, zi, lower.tail = TRUE, log.p = FALSE)

dzero_inflated_negbinomial(x, mu, shape, zi, log = FALSE)

pzero_inflated_negbinomial(q, mu, shape, zi, lower.tail = TRUE, log.p = FALSE)

dzero_inflated_binomial(x, size, prob, zi, log = FALSE)

pzero_inflated_binomial(q, size, prob, zi, lower.tail = TRUE, log.p = FALSE)

dzero_inflated_beta_binomial(x, size, mu, phi, zi, log = FALSE)

pzero_inflated_beta_binomial(
q,
size,
mu,
phi,
zi,
lower.tail = TRUE,
log.p = FALSE
)

dzero_inflated_beta(x, shape1, shape2, zi, log = FALSE)

pzero_inflated_beta(q, shape1, shape2, zi, lower.tail = TRUE, log.p = FALSE)


### Arguments

 x Vector of quantiles. zi zero-inflation 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, shape1, shape2 shape parameter size number of trials prob probability of success on each trial phi precision parameter

### Details

The density of a zero-inflated distribution can be specified as follows. If x = 0 set f(x) = \theta + (1 - \theta) * g(0). Else set f(x) = (1 - \theta) * g(x), where g(x) is the density of the non-zero-inflated part.

[Package brms version 2.21.0 Index]