a vector object of (non-negative integer) quantiles.
q
a numeric value.
n
number of random values to return.
lambda1
a single numeric value for parameter lambda1 with lambda1 > 0.
lambda2
a single numeric value for parameter lambda2 with 0 ≤ lamdba2 < 1. When lambda2=0, the generalized Poisson distribution reduces to the Poisson distribution.
Details
The generalized Poisson distribution has the density
with E(x)=lambda1/(1-lambda2) and variance var(x)=lambda1/(1-lambda2)^3.
Value
dgenpois gives the density, pgenpois gives the distribution function and rgenpois generates random deviates.
Author(s)
Based on Joe and Zhu (2005). Implementation by Vitali Witowski (2013).
References
Joe, H., Zhu, R. (2005). Generalized poisson distribution: the property of mixture of poisson and comparison with negative binomial distribution. Biometrical Journal 47(2):219–229.
See Also
Distributions for other standard distributions, including dpois for the Poisson distribution.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(HMMpa)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/HMMpa/dgenpois.Rd_%03d_medium.png", width=480, height=480)
> ### Name: dgenpois
> ### Title: The Generalized Poisson Distribution
> ### Aliases: dgenpois pgenpois rgenpois
> ### Keywords: distribution
>
> ### ** Examples
>
> dgenpois(x = seq(0,20), lambda1 = 10, lambda2 = 0.5)
[1] 4.539993e-05 2.753645e-04 9.185935e-04 2.232841e-03 4.423833e-03
[6] 7.581895e-03 1.165617e-02 1.646632e-02 2.173967e-02 2.715883e-02
[11] 3.240717e-02 3.720461e-02 4.133055e-02 4.463423e-02 4.703503e-02
[16] 4.851540e-02 4.910970e-02 4.889126e-02 4.795954e-02 4.642864e-02
[21] 4.441766e-02
>
> pgenpois(q = 5, lambda1 = 10, lambda2 = 0.5)
[1] 0.01547793
>
> hist(rgenpois(n = 1000, lambda1 = 10, lambda2 = 0.5) )
>
>
>
>
>
>
> dev.off()
null device
1
>