Density and distribution functions for zero-inflated distributions.
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(x, shape1, shape2, zi, log = FALSE)
pzero_inflated_beta(q, shape1, shape2, zi, lower.tail = TRUE, log.p = FALSE)
Vector of quantiles.
zero-inflation probability
Logical; If TRUE, values are returned on the log scale.
Vector of quantiles.
Logical; If TRUE (default), return P(X <= x).
Else, return P(X > x) .
Logical; If TRUE, values are returned on the log scale.
location parameter
shape parameter
number of trials
probability of success on each trial
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.