Package: nimbleSMC 0.11.1

Christopher Paciorek

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>.

Authors:Nick Michaud [aut], Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Benjamin R. Goldstein [ctb], Dao Nguyen [ctb], The Regents of the University of California [cph]

nimbleSMC_0.11.1.tar.gz
nimbleSMC_0.11.1.zip(r-4.7)nimbleSMC_0.11.1.zip(r-4.6)nimbleSMC_0.11.1.zip(r-4.5)
nimbleSMC_0.11.1.tgz(r-4.6-any)nimbleSMC_0.11.1.tgz(r-4.5-any)
nimbleSMC_0.11.1.tar.gz(r-4.7-any)nimbleSMC_0.11.1.tar.gz(r-4.6-any)
nimbleSMC_0.11.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
nimbleSMC/json (API)
NEWS

# Install 'nimbleSMC' in R:
install.packages('nimbleSMC', repos = c('https://nimble-dev.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nimble-dev/nimblesmc/issues

On CRAN:

Conda:

4.84 score 4 stars 58 scripts 625 downloads 7 exports 16 dependencies

Last updated from:6d39f55ed6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK126
source / vignettesOK226
linux-release-x86_64OK141
macos-release-arm64OK143
macos-oldrel-arm64OK280
windows-develOK128
windows-releaseOK156
windows-oldrelOK100
wasm-releaseOK106

Exports:buildAuxiliaryFilterbuildBootstrapFilterbuildEnsembleKFbuildIteratedFilter2buildLiuWestFiltersampler_RW_PFsampler_RW_PF_block

Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixnimblenumDerivpkgconfigpracmaR6rlangvctrs