hit.run: hit.run

In BaM: Functions and Datasets for "Bayesian Methods: A Social and Behavioral Sciences Approach"

hit.run

Description

Implementation of hit.run algorithm, p. 361.

Usage

hit.run(theta.mat,reps,I.mat)

Arguments

theta.mat	theta.mat
reps	reps
I.mat	I.mat

Author(s)

Jeff Gill

Examples

## Not run: 
#code to implement graph on p. 362, see page 376.

num.sims <- 10000
Sig.mat <- matrix(c(1.0,0.95,0.95,1.0),2,2)
walks<-rbind(c(-3,-3),matrix(NA,nrow=(num.sims-1),ncol=2))
walks <- hit.run(walks,num.sims,Sig.mat)
z.grid <- outer(seq(-3,3,length=100),seq(-3,3,length=100),
                FUN=dmultinorm,c(0,0),Sig.mat)
contour(seq(-3,3,length=100),seq(-3,3,length=100),z.grid,
        levels=c(0.05,0.1,0.2))
points(walks[5001:num.sims,],pch=".")

BaM documentation built on Oct. 14, 2022, 5:07 p.m.