summary.mcSE: Summary function for mcSE objects.

In mvst: Bayesian Inference for the Multivariate Skew-t Model

Summary function for mcSE objects.

Description

summary method for class "mcSE".

Usage

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

Arguments

object	an object of class mcSE.
...	further arguments passed to or from other methods.

Value

A numeric vector with n values of the density function, one for each row in y.

References

Parisi A, Liseo B (2017). Objective Bayesian Analysis for the Multivariate Skew-t Model. Statistical Methods & Applications.

See Also

mcSE, coef.mcSEsummary.

Examples

# Generate Normally distributed data
pars = list(xi=c(2,2), G=diag(2), psi=c(0.3,0.5), nu=5)
values = rmvSE(n=100, p=2, modelType='N', theta=pars)
# Estimate a Skew-t model (not run)
# fit = mcSE(y=values$y, X=NULL, N=20000, Ti=3, modelType='ST', warmUp=FALSE)
# summary(fit)

mvst documentation built on May 29, 2024, 8:30 a.m.