simcontour {LearnBayes} | R Documentation |
Simulated draws from a bivariate density function on a grid
Description
For a general two parameter density defined on a grid, simulates a random sample.
Usage
simcontour(logf,limits,data,m)
Arguments
logf |
function that defines the logarithm of the density |
limits |
limits (xlo, xhi, ylo, yhi) that cover the joint probability density |
data |
vector or list of parameters associated with the function logpost |
m |
size of simulated sample |
Value
x |
vector of simulated draws of the first parameter |
y |
vector of simulated draws of the second parameter |
Author(s)
Jim Albert
Examples
m=array(c(0,0),c(2,1))
v=array(c(1,.6,.6,1),c(2,2))
normpar=list(m=m,v=v)
s=simcontour(lbinorm,c(-4,4,-4,4),normpar,1000)
plot(s$x,s$y)
[Package LearnBayes version 2.15.1 Index]