Package: mcstate 0.9.22

Rich FitzJohn

mcstate: Monte Carlo Methods for State Space Models

Implements Monte Carlo methods for state-space models such as 'SIR' models in epidemiology. Particle MCMC (pmcmc) and SMC2 methods are planned. This package is particularly designed to work with odin/dust models, but we will see how general it becomes.

Authors:Rich FitzJohn [aut, cre], Marc Baguelin [aut], Edward Knock [aut], Lilith Whittles [aut], John Lees [aut], Raphael Sonabend [aut], Imperial College of Science, Technology and Medicine [cph]

mcstate_0.9.22.tar.gz
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mcstate.pdf |mcstate.html✨
mcstate/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/mrc-ide/mcstate/issues

On CRAN:

34 exports 19 stars 2.46 score 22 dependencies

Last updated 7 days agofrom:3549d64ff9 (on master)

Exports:adaptive_proposal_controlarray_bindarray_droparray_flattenarray_reshapeif2if2_controlif2_parameterif2_parametersif2_samplemultistage_epochmultistage_parametersparticle_deterministicparticle_filterparticle_filter_dataparticle_filter_initialpmcmcpmcmc_chains_cleanuppmcmc_chains_collectpmcmc_chains_preparepmcmc_chains_runpmcmc_combinepmcmc_controlpmcmc_parameterpmcmc_parameterspmcmc_parameters_nestedpmcmc_predictpmcmc_samplepmcmc_thinpmcmc_varied_parametersmc2smc2_controlsmc2_parametersmc2_parameters

Dependencies:callrclicpp11crayondescdustfsgluehmslifecyclepkgbuildpkgconfigpkgloadprettyunitsprocessxprogresspsR6rlangrprojrootvctrswithr