print() and summary() on objects that are
output from fit_gaussian_2D() now round parameter estimates
to two decimal places.autofit_gaussian_2D() function can be used to find
the best-fitting model for a given data set.compare_gaussian_fits() function compares models
via criteria such as rmse or rss.characterize_gaussian_fits() analyzes the orientation
and partial correlations of Gaussian data. Features include computation
of partial correlations between response variables and independent and
diagonally-tuned predictions, along with Z-difference scoring.fit_gaussian_2D() function to apply any of
several available methods to fit a 2D-Gaussian to supplied datapredict_gaussian_2D() has been enhanced to allow any
method to be used in fit_gaussian_2D() and then fed into
the predict functioncompute_gaussian_volume() function to compute
the volume under a given 2D-GaussianNEWS.md file to track changes to the
package.