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nimbleSMC

Sequential Monte Carlo Methods for 'nimble'

Includes five particle filtering algorithms for use with state space models in the 'nimble' system: 'Auxiliary', 'Bootstrap', 'Ensemble Kalman filter', 'Iterated Filtering 2', and 'Liu-West', as described in Michaud et al. (2021), <doi:10.18637/jss.v100.i03>. A full User Manual is available at <https://r-nimble.org>.

Versions across snapshots

VersionRepositoryFileSize
0.11.1 rolling linux/jammy R-4.5 nimbleSMC_0.11.1.tar.gz 1.0 MiB
0.11.1 rolling linux/noble R-4.5 nimbleSMC_0.11.1.tar.gz 1.0 MiB
0.11.1 rolling source/ R- nimbleSMC_0.11.1.tar.gz 52.4 KiB
0.11.1 latest linux/jammy R-4.5 nimbleSMC_0.11.1.tar.gz 1.0 MiB
0.11.1 latest linux/noble R-4.5 nimbleSMC_0.11.1.tar.gz 1.0 MiB
0.11.1 latest source/ R- nimbleSMC_0.11.1.tar.gz 52.4 KiB
0.11.1 2026-04-26 source/ R- nimbleSMC_0.11.1.tar.gz 52.4 KiB
0.11.1 2026-04-23 source/ R- nimbleSMC_0.11.1.tar.gz 52.4 KiB
0.11.1 2026-04-09 windows/windows R-4.5 nimbleSMC_0.11.1.zip 1.0 MiB
0.11.1 2025-04-20 source/ R- nimbleSMC_0.11.1.tar.gz 52.4 KiB

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