DHPOIS: Double-Hurdle Poisson

In ebalderama/ZimulatE: Simulates Zero-Inflated, Hurdle, and Double-Hurdle Models

Description

Density, distribution function, quantile function and random generation for the double-hurdle Poisson distribution with parameters theta, lambda, theta_1, mu, scale, shape, and threshold.

Usage

ddhpoisdgp(
  x,
  theta = 0.5,
  threshold = 3,
  lambda = 1,
  theta_1 = 0.1,
  scale = 1,
  shape = 1
)

pdhpoisdgp(
  q,
  theta = 0.5,
  lambda = 1,
  threshold = 3,
  theta_1 = 0.1,
  scale = 1,
  shape = 1,
  lower.tail = TRUE,
  log.p = FALSE
)

rdhpoisdgp(
  n,
  theta = 0.5,
  lambda = 1,
  theta_1 = 0.1,
  scale = 1,
  shape = 1,
  threshold = 3
)

Arguments

x, q	vector of quantiles
theta	zero-generating parameter (probability of zeros)
threshold	second hurdle
lambda	expected Poisson count
theta_1	probability of a count at or above mu, conditional on non-zero count
scale	scale parameter
shape	shape parameter
lower.tail	logical; if TRUE (default), probabilities are P[X %leq x], otherwise, P[X > x].
n	number of observations
p	vector of probabilities
log, log.p	logical; if TRUE, probabilities p are given as log(p).

Value

ddhpoisdgp gives the density, pdhpoisdgp gives the distribution function, qdhpoisdgp gives the quantile function, and rdhpoisdgp generates random deviates.

ebalderama/ZimulatE documentation built on Dec. 20, 2021, 3:12 a.m.