Generates parameter values for PTL model, based on a specified value of the hyperparameter
predictPTLparams(d,PTLmodel)Numeric value specifying global dissimilarity between the selected objects
List, as returned by the function fitPTLmodel, with named elements alpha, beta and gamma specifying linear models for PTL parameter prediction.
List with elements:
Numeric value specifying the parameter alpha in the PTL model used to estimate distribution of differences between the given objects
Numeric value specifying the parameter beta in the PTL model used to estimate distribution of differences between the given objects
Numeric value specifying the parameter gamma in the PTL model used to estimate distribution of differences between the given objects
Uses hyperparameter-based prediction linear models, calibrated to the dataset being analysed using the fitPTLmodel function, to estimate PTL model parameters for a pair of objects in the dataset with a global dissimilarity d.