Density, distribution function, quantile function and random generation for the zero-inflated
negative binomial (ZINB) distribution with parameters k
, lambda
, and omega
.
dzinb(x, k, lambda, omega, log = FALSE)
pzinb(q, k, lambda, omega, lower.tail = TRUE, log.p = FALSE)
qzinb(p, k, lambda, omega, lower.tail = TRUE, log.p = FALSE)
rzinb(n, k, lambda, omega)
vector of quantiles.
vector of probabilities.
number of random values to return.
dispersion parameter.
vector of (non-negative) means.
zero-inflation parameter.
logical; if TRUE, probabilities p
are given as log(p)
.
logical; if TRUE (default), probabilities are P[X <= x]
, otherwise, P[X > x]
.
dzinb
gives the density, pzinb
gives the distribution function,
qzinb
gives the quantile function, and rzinb
generates random deviates.
dzinb(x = 0:10, k = 1, lambda = 1, omega = 0.5)
#> [1] 0.7500000000 0.1250000000 0.0625000000 0.0312500000 0.0156250000
#> [6] 0.0078125000 0.0039062500 0.0019531250 0.0009765625 0.0004882813
#> [11] 0.0002441406
pzinb(q = c(1, 5, 9), k = 1, lambda = 1, omega = 0.5)
#> [1] 0.8750000 0.9921875 0.9995117
qzinb(p = c(0.25, 0.50, 0.75), k = 1, lambda = 1, omega = 0.5)
#> [1] 0 0 0
set.seed(123)
rzinb(n = 100, k = 1, lambda = 1, omega = 0.5)
#> [1] 0 0 1 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 4 1 0
#> [38] 1 1 0 0 1 4 0 1 6 1 2 0 0 0 0 0 1 0 0 0 0 0 3 0 1 0 0 0 1 0 0 0 4 0 0 0 0
#> [75] 0 2 0 0 3 0 0 0 1 0 1 0 0 0 0 2 0 0 0 0 2 4 0 0 0 0