Pstep2D: "Pstep2D" MCMC sampling function: Accept new point with...

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

"Pstep2D" MCMC sampling function: Accept new point with probability alpha

Description

2D landmark data in Pre Shape space(Gaussian likelihood with Isotropic Error Variance) Accepts new parameter 5*1 point with probability alpha

Usage

Pstep2D(t, tune, myData)

Arguments

t	An array containing 1 parameters
tune	array containing 1 tuning value
myData	3D array containing 2 dimensional landmark

Details

"Sigma" = Isotropic error variation parameter

Value

Returns the 1 parameter point

Examples

## 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}
tt=rep(1,1)
for(i in 1:3){
s=Pstep2D(tt,rep(0.01,1),myData)
print(s)
tt=Ppurturb2D(tt, rep(0.01,1))
}

## End(Not run)

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