View source: R/PPLOTpostvar2D.R
PPLOTpostvar2D | R Documentation |
2D landmark data in Pre-shape(Gaussian likelihood with Isotropic Error Variance) Plot of posterior of Landmark variance parameter
PPLOTpostvar2D(mcmcmat, burnin, colu)
mcmcmat |
A matrix containing MCMC sample values from posterior of sigma- parameters |
burnin |
Value for MCMC burn-in |
colu |
colour of plot |
Nsample |
number of MCMC samples |
"Sigma" = Isotropic error variation parameter
plot
## Not run:
require(shapes)
data(apes)
myData = apes$x
for(i in 1:dim(myData)[3])
{myData[,,i]=
Morpho::rotonto(myData[,,1],myData[,,i])$yrot}
ape5000=MCMCpostPsample2D(1.5,rep(0.1,1),myData,5000)
PPLOTpostvar2D(ape5000, 1000)
## End(Not run)
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