robustt: Gibbs sampling for a robust regression model

Description Usage Arguments Value Author(s) Examples

View source: R/robustt.R

Description

Implements Gibbs sampling for a robust t sampling model with location mu, scale sigma, and degrees of freedom v

Usage

1
robustt(y,v,m)

Arguments

y

vector of data values

v

degrees of freedom for t model

m

the number of cycles of the Gibbs sampler

Value

mu

vector of simulated values of mu

s2

vector of simulated values of sigma2

lam

matrix of simulated draws of lambda, where each row corresponds to a single draw

Author(s)

Jim Albert

Examples

1
2
data=c(-67,-48,6,8,14,16,23,24,28,29,41,49,67,60,75)
fit=robustt(data,4,1000)

LearnBayes documentation built on May 30, 2017, 4:48 a.m.

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