| PlotHist {Rtwalk} | R Documentation | 
Plot a histogram of a
Description
Plot a histogram of the twalk MCMC output.
Usage
PlotHist( info, par=1, from=0, xlab=paste("Parameter", par), main="", ...)
Arguments
info | 
 as returned from Runtwalk.  | 
par | 
 parameter number to plot.  | 
from | 
 iteration number to start ploting (from=0 begings at initialization point).  | 
xlab | 
 parameter passed to hist.  | 
main | 
 parameter passed to hist.  | 
... | 
 parameters passed to hist.  | 
Value
hist object.
Author(s)
J Andres Christen (CIMAT, Guanajuato, MEXICO).
References
Christen JA and Fox C (2010). A general purpose sampling algorithm for continuous distributions (the t-walk)., Bayesian Analysis, 5 (2), 263-282. URL: http://ba.stat.cmu.edu/journal/2010/vol05/issue02/christen.pdf
See Also
Runtwalk For running the twalk.
Examples
  
#### We first load the twalk package:
library(Rtwalk)
#### A ver simple inline example, 4 independent normals N(0,1):
######        dimension,  num of it, -log of objective function besides a const, support,
info <- Runtwalk( dim=4,  Tr=1000,  Obj=function(x) { sum(x^2)/2 }, Supp=function(x) { TRUE },
	x0=runif(4, min=20, max=21), xp0=runif(4, min=20, max=21)) 
####  and two (intentionally bad) initial points
### One can plot some histograms:
PlotHist(info, par=3)
[Package Rtwalk version 1.8.0 Index]