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

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 Index]