Cumulative probability mass of the generalized Poisson distribution {gp}

Cumulative probability mass of the generalized Poisson distribution

Description

Cumulative probability mass of the generalized Poisson distribution.

Usage

pgp(y, theta, lambda)

Arguments

y

A vector with non negative integer values.

theta

The value of the \theta parameter.

lambda

The value of the \lambda parameter.

Details

The cumulative probability mass of the generealized Poisson distribution is computed.

Value

A vector with the probabilities.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

Nikoloulopoulos A.K. & Karlis D. (2008). On modeling count data: a comparison of some well-known discrete distributions. Journal of Statistical Computation and Simulation, 78(3): 437–457.

Demirtas H. (2017). On accurate and precise generation of generalized Poisson variates. Communications in Statistics - Simulation and Computation, 46(1): 489–499.

See Also

dgp, rgp

Examples

y <-  rgp(1000, 10, 0.5, method = "Inversion")
a <- gp.mle(y)
pgp(y[1:10], a[1], a[2])