Density, distribution function, quantile function and random generation for the
zero-inflated Poisson (ZIP) distribution with parameters lambda
and omega
.
dzip(x, lambda, omega, log = FALSE)
pzip(q, lambda, omega, lower.tail = TRUE, log.p = FALSE)
qzip(p, lambda, omega, lower.tail = TRUE, log.p = FALSE)
rzip(n, lambda, omega)
vector of quantiles.
vector of probabilities.
number of random values to return.
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]
.
dzip
gives the density, pzip
gives the distribution function,
qzip
gives the quantile function, and rzip
generates random deviates.
dzip(x = 0:10, lambda = 1, omega = 0.5)
#> [1] 6.839397e-01 1.839397e-01 9.196986e-02 3.065662e-02 7.664155e-03
#> [6] 1.532831e-03 2.554718e-04 3.649598e-05 4.561997e-06 5.068886e-07
#> [11] 5.068886e-08
pzip(q = c(1, 5, 9), lambda = 1, omega = 0.5)
#> [1] 0.8678794 0.9997029 0.9999999
qzip(p = c(0.25, 0.50, 0.75), lambda = 1, omega = 0.5)
#> [1] 0 0 1
set.seed(123)
rzip(n = 100, lambda = 1, omega = 0.5)
#> [1] 1 0 1 0 0 2 0 0 0 0 0 0 0 0 1 0 1 3 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0
#> [38] 2 3 1 0 1 0 0 2 0 0 0 0 0 2 1 0 0 0 1 1 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 2
#> [75] 1 1 1 0 2 1 2 0 1 0 1 1 0 0 0 2 0 0 4 0 3 1 0 1 0 0