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