Plot Several Acceptable Model FitsΒΆ

It’s nice to have visual confirmation that the best-fit model gives an acceptable fit to the data. It’s even better to see that a random draw from the posterior probability density function (PDF) also gives an acceptable fit to the data. This is easily done using:

import visualize
visualize.goodFits()

By default, visualize.goodFits() produces plots of 12 model fits randomly drawn from the posterior PDF. You can adjust this with the Nfits keyword argument.

Note

Other than Nfits, visualize.goodFits() takes the same optional keyword arguments as visualize.bestFit().