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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>MCMC, Particle Filtering, and Programmable Hierarchical Modeling</dc:title>
  <dc:title>R package nimble version 1.4.2</dc:title>
  <dc:subject>CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian)</dc:subject>
  <dc:subject>CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels)</dc:subject>
  <dc:description>A system for writing hierarchical statistical models largely
    compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models
    and do basic R-style math, and compiling both models and nimbleFunctions via
    custom-generated C++. 'NIMBLE' includes default methods for MCMC, Laplace
    Approximation, deterministic nested approximations, Monte Carlo Expectation
    Maximization, and some other tools.
    The nimbleFunction system makes it easy to do things like implement new MCMC
    samplers from R, customize the assignment of samplers to different parts of
    a model from R, and compile the new samplers automatically via C++ alongside
    the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language
    by making it extensible: New distributions and functions can be added,
    including as calls to external compiled code. Although most people think
    of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models,
    one can use 'NIMBLE' for writing arbitrary other kinds of model-generic
    algorithms as well. A full User Manual is available at &lt;https://r-nimble.org&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.1.2)</dc:relation>
  <dc:relation>Imports: methods,igraph,coda,R6,pracma,numDeriv</dc:relation>
  <dc:relation>Suggests: testthat,mcmcse,nloptr,nimbleQuad</dc:relation>
  <dc:creator>Christopher Paciorek &lt;paciorek@stat.berkeley.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Perry de Valpine [aut],
  Christopher Paciorek [aut, cre],
  Daniel Turek [aut],
  Nick Michaud [aut],
  Cliff Anderson-Bergman [aut],
  Fritz Obermeyer [aut],
  Claudia Wehrhahn Cortes [aut] (Bayesian nonparametrics system),
  Abel Rodríguez [aut] (Bayesian nonparametrics system),
  Duncan Temple Lang [aut] (packaging configuration),
  Wei Zhang [aut] (node marginalization),
  Sally Paganin [aut] (reversible jump MCMC),
  Joshua Hug [aut] (WAIC),
  Paul van Dam-Bates [aut] (Pólya-Gamma sampler, nimIntegrate, matrix
    exponential),
  Jagadish Babu [ctb] (code for the compilation system for an early
    version of NIMBLE),
  Lauren Ponisio [ctb] (contributions to the cross-validation code),
  Peter Sujan [ctb] (multivariate t distribution code)</dc:contributor>
  <dc:rights>BSD_3_clause + file LICENSE (https://CRAN.R-project.org/package=nimble/LICENSE)</dc:rights>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-04-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=nimble</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.nimble</dc:identifier>
</oai_dc:dc>