mgeo_fit: Fits the multivariate geometric distribution (MGEO)

In camponsah/BivMixDist: Fit bivariate continous and discrete distributions as well as provide EM algorithm for discrete Pareto

Description

This function computes the parameter estimates of MGEO .

Usage

mgeo_fit(data, tol = .Machine$double.eps^(1/2), maxiter = 500)

Arguments

data	is data.frame of observations from MGEO model
tol	is error tolerance level for checking convergence.

Details

mgeo_fit fits MGEO model to data.

Value

list of parameter estimates and deviance

References

Kozubowski, T.J., & Panorska, A.K. (2005). A Mixed bivariate distribution with exponential and geometric marginals. Journal of Statistical Planning and Inference, 134, 501-520. https://doi.org/10.1016/j.jspi.2004.04.010

Examples

Data.df<- rmgeo(n = 100,theta = 10, prob= c(0.23, 0.7))
fit<-mgeo_fit(Data.df)
fit

camponsah/BivMixDist documentation built on Nov. 15, 2021, 3:11 a.m.