NEWS

LATERmodel 0.2.0.9000

Changed approach to determine start values for sigma and sigma_e parameters, using the skewness of the observed promptness distribution to weight the relationship between the parameters and the empirical standard deviation.
Added the option to perform fitting repeatedly with random offsets (jitters) to the start points (on by default), returning the best of the repeated fits.
Added a processes option in the jitter_settings parameter for fit_data, which controls how many parallel processes are used to run the fits. This is set to 2 by default.
Updated the article with the analysis of the Carpenter & Williams data to include details about the jittering.