This function contains the OPA function to compare two configurations and the GPA function for multiple configuration comparisons
Usage
GPA(Xk, G.target = NULL, iter = 500, eps = 0.001)
Arguments
- Xk
list containing the testee configurations which is updated on #each iteration
- G.target
Target configuration. If not specified the centroid configuration will be used as the target
- iter
Number of iterations allowed before convergence
- eps
Threshold value for convergence of the alogrithm
Value
- Xk.F
List containing the updated testee configurations
- sk.F
Vector containing the final scaling factors
- Qk.F
List containing the final rotation matrices
- Gmat
Final target configuration
- sum.sq
Final minimised sum of squared distance
