bgammageo_fit: Fits the bivariate gamma geometric distribution (BGG) to...

Description Usage Arguments Value References Examples

View source: R/bgg_distribution.R

Description

This function computes the parameter estimates, confidence interval, deviance and covariance matrix of gamma geometric distribution. ' bgammageo_fit BGG model to data.

Usage

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bgammageo_fit(data, level = 0.95)

Arguments

data

bivariate vector (X,N) observations from BGG model.

level

confidence level expressed between 0 and 1 (Default is 0.95).

Value

list of parameter estimates, confidence interval, deviance and covariance matrix.

References

Barreto-Souza, W. (2012). Bivariate gamma-geometric law and its induced Levy process . Journal of Multivariate Analysis, 109:130-145. https://doi.org/10.1016/j.jmva.2012.03.004

Examples

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Data.df<- rbgammageo(200,alpha=1.5, beta=2, p=0.6)
fit <- bgammageo_fit(Data.df)
fit

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