poistweedie: Poisson-Tweedie (Some discrete exponential dispersion models)

In poistweedie: Poisson-Tweedie Exponential Family Models

Poisson-Tweedie (Some discrete exponential dispersion models)

Description

Density, Log of density, variance for the Poisson-Tweedie family of distributions

Usage

poistweedie(x, n, p, mu, lambda, theta0, lower.tail = TRUE, log.p = FALSE, 
    fonction = "PROBABILITE")
poisson(x, n, p, lambda1, lower.tail = TRUE, log.p = FALSE, 
    fonction = "PROBABILITE")
nbinomiale(x, n, p, lambda1, p1, lower.tail = TRUE, log.p = FALSE, 
    fonction = "PROBABILITE")

Arguments

x	vector of (non-negative integer) quantiles.
p	is a real index related to a precise model.
p1	is a real index related to a precise model.
n	non-negative integer
mu	the mean.
lambda	the dispersion parameter.
lambda1	the dispersion parameter.
theta0	the canonical parameter.
log, log.p	logical; if TRUE, probabilities p are given as log(p).
lower.tail	logical; if TRUE (default), probabilities are P[X <= x], otherwise, P[X > x].
fonction	is a string

Details

Density, Log of density, variance for the Poisson-Tweedie family of distributions

Author(s)

Cactha David Pechel, Laure Pauline Fotso and Celestin C Kokonendji Maintainer: Cactha David Pechel ( <[e-mail]>)

See Also

dpoistweedie, ppoistweedie

Examples

## poistweedie(x, n, p, mu, lambda, theta0, lower.tail = TRUE, 
##             log.p = FALSE, fonction = "PROBABILITE")
x <- 0:200
p <- 1.5
mu <-10     
lambda <- 10
theta0<--10
d1<-poistweedie(x, n, p, mu, lambda, theta0, lower.tail = TRUE,
log.p = FALSE, fonction = "PROBABILITE")

poistweedie documentation built on May 29, 2024, 9:21 a.m.