simcontour: Simulated draws from a bivariate density function on a grid

In LearnBayes: Functions for Learning Bayesian Inference

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)

Example output

LearnBayes documentation built on May 1, 2019, 7:03 p.m.