ZeroInflated: Zero-Inflated Distributions

In brms: Bayesian Regression Models using 'Stan'

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.

brms documentation built on Sept. 23, 2024, 5:08 p.m.