bayesSSM 0.6.1

Improved reproducibility of pmmh: Setting a seed now ensures consistent results regardless of the number of cores used.
Improvement performance of pmmh slightly.
Rewrote resampling step in particle_filter to C++ for improved performance.
Added new article detailed-overview which goes over some theory, implementation details, and tips for using the package effectively.
Improved the documentation of the package, including the README and articles, to provide clearer explanations and examples.

bayesSSM 0.5.0

The particles argument in init_fn, which is passed to particle_filter and pmmh, is deprecated. Please use num_particles instead. A warning will be issued if particles is used.
Added support for time dependency in functions. You can now use t in transition_fn and likelihood_fn when passing them to particle_filter and pmmh. This allows for time-varying transition and likelihood functions.
Fixed a bug in particle_filter in likelihood calculation causing it to be shifted by a constant.
Improved robustness of pmmh when encountering very low log-likelihood values.
Added scaling for the proposal covariance when using "logit" in pmmh.
Improved documentation: updated package description, clarified text in the README and vignette, and added more unit tests.