HDGP: Hurdle Model for Generalized Pareto Distribution

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

Description

Density, distribution function, quantile function and random generation for the hurdle model of the generalized Pareto distribution with parameters theta, mu, scale, and shape.

Usage

dhdgp(x, theta = 0.5, mu = 0, scale = 1, shape = 1, log = FALSE)

phdgp(
  q,
  theta = 0.5,
  mu = 0,
  scale = 1,
  shape = 1,
  lower.tail = TRUE,
  log.p = FALSE
)

rhdgp(n, theta = 0.5, mu = 0, scale = 1, shape = 1)

Arguments

x, q	vector of quantiles
theta	zero generating parameter (probability of zeros)
mu	location parameter
scale	(non-negative) scale parameter
shape	shape parameter
log, log.p	logical; if TRUE, probabilities p are given as log(p).
lower.tail	logical; if TRUE (default), probabilities are P[X %leq x], otherwise, P[X > x].
n	number of observations
p	vector of probabilities

Value

dhdgp gives the density, phdgp gives the distribution function, qhdgp gives the quantile function, and rhdgp generates random deviates.

Examples

dhdgp(c(0, 1, 2))
dhdgp(24, theta = 0.8, mu = 1) 

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