View source: R/PLOTpostvar2D.R
PLOTpostvar2D | R Documentation |
2D landmark data(Gaussian likelihood with Isotropic Error Variance) Plot of posterior of Landmark variance parameter
PLOTpostvar2D(mcmcmat, burnin)
mcmcmat |
A matrix containing MCMC sample values from posterior of 5*1 parameters |
burnin |
Value for MCMC burn-in |
Nsample |
number of MCMC samples |
"Sigma" = Isotropic error variation parameter
plot
## Not run:
require(shapes)
data(apes)
myData = apes$x
ape10000=MCMCpostsample2D(rnorm(5, mean=1, sd=1),rep(1,5),
apes$x,10,10000)
PLOTpostvar2D(ape10000, 1000)
## End(Not run)
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