This release allows nimbleSMC
to work with nimble
versions 1.0.0 and later (i.e., AD-enabled NIMBLE).
Improve efficiency of ensemble Kalman Filter (issue #2).
Check and error out when detect deterministic latent nodes (issue #5).
Avoid numerical problems from underflow caused by exponentiating weights in various filters (PR #4).
Switch citation to newly-published JSS paper.
Make various cleanups to testing.
Move continuous integration testing to GitHub Actions.
Sequential Monte Carlo functionality was moved from the core nimble package as of nimble version 0.10.0.
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.