rejectsampling {LearnBayes} | R Documentation |
Rejecting sampling using a t proposal density
Description
Implements a rejection sampling algorithm for a probability density using a multivariate t proposal density
Usage
rejectsampling(logf,tpar,dmax,n,data)
Arguments
logf |
function that defines the logarithm of the density of interest |
tpar |
list of parameters of t proposal density including the mean m, scale matrix var, and degrees of freedom df |
dmax |
logarithm of the rejection sampling constant |
n |
number of simulated draws from proposal density |
data |
data and or parameters used in the function logf |
Value
matrix of simulated draws from density of interest
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=rejectsampling(betabinexch,tpar,-569.2813,1000,cancermortality)
[Package LearnBayes version 2.15.1 Index]