Description Usage Arguments Value References Examples
View source: R/bgg_distribution.R
This function computes the parameter estimates, confidence interval, deviance and covariance matrix of gamma geometric distribution. ' bgammageo_fit BGG model to data.
1 | bgammageo_fit(data, level = 0.95)
|
data |
bivariate vector (X,N) observations from BGG model. |
level |
confidence level expressed between 0 and 1 (Default is 0.95). |
list of parameter estimates, confidence interval, deviance and covariance matrix.
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
1 2 3 | Data.df<- rbgammageo(200,alpha=1.5, beta=2, p=0.6)
fit <- bgammageo_fit(Data.df)
fit
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