bcnsm-methods: Methods for '"bcnsm"' objects

In rdmatheus/BCNSM: Multivariate Box-Cox Symmetric Distributions Generated by a Normal Scale Mixture Copula

Methods for "bcnsm" objects

Description

Methods for "bcnsm" objects

Usage

## S3 method for class 'bcnsm'
vcov(object, par = c("all", "mu", "sigma", "lambda", "nu", "gamma"), ...)

## S3 method for class 'bcnsm'
logLik(object, ...)

## S3 method for class 'bcnsm'
AIC(object, ..., k = 2)

## S3 method for class 'bcnsm'
print(x, digits = 2L, ...)

## S3 method for class 'bcnsm'
summary(object, digits = 4L, ...)

## S3 method for class 'summary.bcnsm'
print(x, ...)

Arguments

par	character; specifies which submatrix of the asymptotic covariance matrix of the maximum likelihood estimators should be returned. The options are "all" (default), "mu", "sigma", "lambda", "nu", and "gamma".
...	further arguments passed to or from other methods.
k	numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC.
x, object	an object of class bcnsm.
digits	number of digits in print methods.

Author(s)

Rodrigo M. R. de Medeiros <[e-mail]>

rdmatheus/BCNSM documentation built on Feb. 8, 2024, 1:28 a.m.