summary.MBGC: Summarizing Mixture of Bivariate Gamma Clustering Model Fits

In senhu/mvClaim: Multivariate general insurance claims modelling

Description

Summary method for class "MBGC"

Usage

## S3 method for class 'MBGC'
summary(object, ...)

## S3 method for class 'summary.MBGC'
print(x, digits = getOption("digits"), ...)

Arguments

object	An object of class "MBGC" resulting of a call to MBGC.
...	Further arguments passed to or from other methods.
x	An object of class "summary.MBGC", usually a result of a call to summary.MBGC.
digits	The number of significant digits to use when printing.

Examples

clust1 <- MBGC(modelName = "CC", y=c("y1","y2"),
               G=2, gating = "C", data=gatingsim)
summary(clust1)
clust2 <- MBGC(modelName = "CI", y=c("y1","y2"),
               G=2, gating = "C", data=gatingsim)
summary(clust2)
clust4 <- MBGC(modelName = "CC", y=c("y1","y2"),
               G=2, gating = ~w1+w2+w3, data=gatingsim)
summary(clust4)

senhu/mvClaim documentation built on Jan. 29, 2022, 3:18 p.m.