fratio2D: "fratio2D" function for MCMC posterior sampling

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

"fratio2D" function for MCMC posterior sampling

Description

2D landmark data(Gaussian likelihood with Isotropic Error Variance) as the name suggest, it evaluates fratio for two parameter vector t1, t2

Usage

fratio2D(t1, t2, myData, choice)

Arguments

t1	An array containing 5*1 parameters
t2	An array containing another 5*1 parameter
myData	3D array containing 2 dimensional landmark
choice	Which to compare with 1st object or mean obj

Details

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

Value

fratio value

Examples

## Not run: 
require(shapes)
data(apes)
myData = apes$x
for(k in 1:10)
{tempp2=rnorm(5, mean=1, sd=1);
tempp1=purturb2D(tempp2,rep(0.001,5))
p=fratio2D (tempp1, tempp2,  myData, 10)
print(p)
}

## End(Not run)

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