R: Sequential Monte Carlo Methods for 'nimble'

# Sequential Monte Carlo Methods for 'nimble'

## Documentation for package ‘nimbleSMC’ version 0.11.1

- DESCRIPTION file
- Package NEWS

## Help Pages

buildAuxiliaryFilter | Create an auxiliary particle filter algorithm to estimate log-likelihood.
buildBootstrapFilter | Create a bootstrap particle filter algorithm to estimate log-likelihood.
buildEnsembleKF | Create an Ensemble Kalman filter algorithm to sample from latent states.
buildIteratedFilter2 | Create an IF2 algorithm.
buildLiuWestFilter | Create a Liu and West particle filter algorithm.
RW_PF | Particle Filtering MCMC Sampling Algorithms
RW_PF_block | Particle Filtering MCMC Sampling Algorithms
sampler | Particle Filtering MCMC Sampling Algorithms
samplers | Particle Filtering MCMC Sampling Algorithms
sampler_RW_PF | Particle Filtering MCMC Sampling Algorithms
sampler_RW_PF_block | Particle Filtering MCMC Sampling Algorithms
SMCsamplers | Particle Filtering MCMC Sampling Algorithms