Supernest

Nested sampling accelerated

Supernest accelerates typical nested sampling workflows by including a proposal prior and reducing the Kullback-Leibler divergence.

Drop-in

Adding `supernest` is as easy as wrapping your priors.

If your proposal is somehow inadequate, `supernest` falls back onto the original prior and you get your results.

When the proposal is correct-enough, you can expect the acceleration to be by a factor of hundreds.