getPTLparams: Find best values of PTL parameters
In LCA: Localised Co-Dependency Analysis

Description Usage Arguments Details Value Author(s)

Finds parameters alpha, beta and gamma in PTL model to fit an observed distribution of differences in each feature's values between two given objects from a dataset.

1	getPTLparams(x1,x2)

`x1`	Numeric data input vector, standardised to range (0,1)
`x2`	Numeric data input vector, standardised to range (0,1)

Uses iterative NLS fitting to determine parameters of PTL model to represent the distribution of the differences observed between two objects selected from the dataset being analysed with LCA.

List with the following elements:

`d`	Numeric value specifying pair-wise global distance between objects `x1` and `x2`
`beta`	Numeric value specifying value of parameter `beta` in best PTL fit
`alpha`	Numeric value specifying value of parameter `alpha` in best PTL fit
`gamma`	Numeric value specifying value of parameter `gamma` in best PTL fit