poistweedie: Poisson-Tweedie (Some discrete exponential dispersion models)
In poistweedie: Poisson-Tweedie Exponential Family Models

Description Usage Arguments Details Author(s) See Also Examples

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

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")

`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

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

Cactha David Pechel, Laure Pauline Fotso and Celestin C Kokonendji Maintainer: Cactha David Pechel ( <davidpechel@yahoo.fr>)

dpoistweedie, ppoistweedie

## 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")