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'. A full User Manual is available at <https://r-nimble.org>.

Version: 0.10.0
Depends: R (≥ 3.1.2), nimble (≥ 0.10.0)
Imports: methods
Suggests: testthat
Published: 2020-11-09
Author: Nick Michaud [aut], Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Benjamin R. Goldstein [ctb] (packaging contributions), Dao Nguyen [ctb] (contributions to the IF2 code), The Regents of the University of California [cph]
Maintainer: Christopher Paciorek <paciorek at stat.berkeley.edu>
License: BSD_3_clause + file LICENSE | GPL-2 | GPL-3 [expanded from: BSD_3_clause + file LICENSE | GPL (≥ 2)]
Copyright: See COPYRIGHTS file.
nimbleSMC copyright details
URL: https://r-nimble.org, https://github.com/nimble-dev/nimbleSMC
NeedsCompilation: no
Citation: nimbleSMC citation info
Materials: NEWS
CRAN checks: nimbleSMC results

Downloads:

Reference manual: nimbleSMC.pdf
Package source: nimbleSMC_0.10.0.tar.gz
Windows binaries: r-devel: nimbleSMC_0.10.0.zip, r-release: nimbleSMC_0.10.0.zip, r-oldrel: nimbleSMC_0.10.0.zip
macOS binaries: r-release: nimbleSMC_0.10.0.tgz, r-oldrel: nimbleSMC_0.10.0.tgz

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