LATERmodel 0.2.0

• 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.

LATERmodel 0.1.0

• Initial version