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

Description Usage Arguments Details Author(s) See Also Examples

Description

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

Usage

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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 ( <[email protected]>)

See Also

dpoistweedie, ppoistweedie

Examples

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## 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 2, 2019, 3:25 a.m.