Package: dust 0.15.2

Rich FitzJohn

dust: Iterate Multiple Realisations of Stochastic Models

An Engine for simulation of stochastic models. Includes support for running stochastic models in parallel, either with shared or varying parameters. Simulations are run efficiently in compiled code and can be run with a fraction of simulated states returned to R, allowing control over memory usage. Support is provided for building bootstrap particle filter for performing Sequential Monte Carlo (e.g., Gordon et al. 1993 <doi:10.1049/ip-f-2.1993.0015>). The core of the simulation engine is the 'xoshiro256**' algorithm (Blackman and Vigna <arxiv:1805.01407>), and the package is further described in FitzJohn et al 2021 <doi:10.12688/wellcomeopenres.16466.2>.

Authors:Rich FitzJohn [aut, cre], Alex Hill [aut], John Lees [aut], Imperial College of Science, Technology and Medicine [cph]

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dust.pdf |dust.html✨
dust/json (API)
NEWS

Peer review:

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

On CRAN:

15 exports 18 stars 2.60 score 15 dependencies 3 dependents

Last updated 2 months agofrom:de836e9ad5 (on master)

Exports:dustdust_cuda_configurationdust_cuda_optionsdust_datadust_exampledust_generatedust_ode_controldust_openmp_supportdust_openmp_threadsdust_packagedust_repair_environmentdust_rngdust_rng_distributed_pointerdust_rng_distributed_statedust_rng_pointer

Dependencies:callrclicpp11crayondescfsgluepkgbuildpkgloadprocessxpsR6rlangrprojrootwithr