purturb2D: "purturb2D" function for MCMC posterior sampling

In debashischatterjee111/BPviGM1: Novel Bayesian Procrustes Variance-based Inferences in Geometric Morphometrics

"purturb2D" function for MCMC posterior sampling

Description

2D landmark data(Gaussian likelihood with Isotropic Error Variance) generates pertrubed point from 5 parameter space.

Usage

purturb2D(t, tune)

Arguments

t	An array containing 5*1 parameters
tune	array containing 5*1 tuning value

Details

"c1","c2" = Location parameter "b" = dilation parameter "theta" =Rotation angle "Sigma" = Isotropic error variation parameter

Value

g, which is a (new) purturbed point from parameter space

Examples

## Not run: 
NN=10; temp=rep(NA,NN); tempp=rep(1,5);
plot(x = 1,type = "n",xlim = c(0, NN+1), ylim = c(-10, 10),pch = 16,xlab = "steps", ylab = "mean(t)",main = "Purturbed point plot")
abline(h=mean(tempp))
for(k in 1:NN)
{   Sys.sleep(.1)
temp[k]=mean(purturb2D(tempp, rep(11,5)))
 points( temp[k]~k,pch = 10,col =k)
Sys.sleep(0)
}

## End(Not run)

debashischatterjee111/BPviGM1 documentation built on April 8, 2023, 7:28 p.m.