sir {LearnBayes} | R Documentation |
Sampling importance resampling
Description
Implements sampling importance resampling for a multivariate t proposal density.
Usage
sir(logf,tpar,n,data)
Arguments
logf |
function defining logarithm of density of interest |
tpar |
list of parameters of multivariate t proposal density including the mean m, the scale matrix var, and the degrees of freedom df |
n |
number of simulated draws from the posterior |
data |
data and parameters used in the function logf |
Value
matrix of simulated draws from the posterior where each row corresponds to a single draw
Author(s)
Jim Albert
Examples
data(cancermortality)
start=c(-7,6)
fit=laplace(betabinexch,start,cancermortality)
tpar=list(m=fit$mode,var=2*fit$var,df=4)
theta=sir(betabinexch,tpar,1000,cancermortality)
[Package LearnBayes version 2.15.1 Index]