Package: nimble
Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
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 <https://r-nimble.org>.
Version: 1.4.1
Date: 2026-02-11
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>
Authors@R: c(
    person("Perry", "de Valpine", role = "aut"),
    person("Christopher", "Paciorek", , "paciorek@stat.berkeley.edu", role = c("aut", "cre")),
    person("Daniel", "Turek", role = "aut"),
    person("Nick", "Michaud", role = "aut"),
    person("Cliff", "Anderson-Bergman", role = "aut"),
    person("Fritz", "Obermeyer", role = "aut"),
    person("Claudia", "Wehrhahn Cortes", role = "aut", comment = "Bayesian nonparametrics system"),
    person("Abel", "Rodr\u00edguez", role = "aut", comment = "Bayesian nonparametrics system"),
    person("Duncan", "Temple Lang", role = "aut", comment = "packaging configuration"),
    person("Wei", "Zhang", role = "aut", comment = "node marginalization"),
    person("Sally", "Paganin", role = "aut", comment = "reversible jump MCMC"),
    person("Joshua", "Hug", role = "aut", comment = "WAIC"),
    person("Paul", "van Dam-Bates", role = "aut", comment = "P\u00f3lya-Gamma sampler, nimIntegrate, matrix exponential"),
    person("Jagadish", "Babu", role = "ctb", comment = "code for the compilation system for an early version of NIMBLE"),
    person("Lauren", "Ponisio", role = "ctb", comment = "contributions to the cross-validation code"),
    person("Peter", "Sujan", role = "ctb", comment = "multivariate t distribution code")
    )
Depends: R (>= 3.1.2)
Imports: methods,igraph,coda,R6,pracma,numDeriv
Suggests: testthat,mcmcse,nloptr,nimbleQuad
URL: https://r-nimble.org, https://github.com/nimble-dev/nimble
BugReports: https://github.com/nimble-dev/nimble/issues
SystemRequirements: GNU make
License: BSD_3_clause + file LICENSE | GPL (>= 2)
Copyright: See COPYRIGHTS file.
Note: For convenience, the package includes the necessary header files
        for the Eigen distribution. (This is all that is needed to use
        that functionality.) You can use an alternative installation of
        Eigen on your system or the one we provide. The license for the
        Eigen code is very permissive and allows us to distribute it
        with this package. See <http://eigen.tuxfamily.org/index.php?
        title=Main_Page> and also the License section on that page.
Encoding: UTF-8
Collate: config.R all_utils.R options.R distributions_inputList.R
        distributions_processInputList.R
        distributions_implementations.R BUGS_BUGSdecl.R BUGS_contexts.R
        BUGS_nimbleGraph.R BUGS_modelDef.R BUGS_model.R
        BUGS_graphNodeMaps.R BUGS_readBUGS.R BUGS_macros.R
        BUGS_testBUGS.R BUGS_getDependencies.R BUGS_utils.R
        BUGS_mathCompatibility.R externalCalls.R genCpp_exprClass.R
        genCpp_operatorLists.R genCpp_RparseTree2exprClasses.R
        genCpp_initSizes.R genCpp_buildIntermediates.R
        genCpp_processSpecificCalls.R genCpp_sizeProcessing.R
        genCpp_toEigenize.R genCpp_insertAssertions.R genCpp_maps.R
        genCpp_liftMaps.R genCpp_eigenization.R genCpp_addDebugMarks.R
        genCpp_generateCpp.R RCfunction_core.R RCfunction_compile.R
        nimbleFunction_util.R nimbleFunction_core.R
        nimbleFunction_nodeFunction.R nimbleFunction_nodeFunctionNew.R
        nimbleFunction_Rderivs.R nimbleFunction_Rexecution.R
        nimbleFunction_compile.R nimbleFunction_keywordProcessing.R
        nimbleList_core.R types_util.R types_symbolTable.R
        types_modelValues.R types_modelValuesAccessor.R
        types_modelVariableAccessor.R types_nimbleFunctionList.R
        types_nodeFxnVector.R types_numericLists.R cppDefs_utils.R
        cppDefs_variables.R cppDefs_core.R cppDefs_namedObjects.R
        cppDefs_ADtools.R cppDefs_BUGSmodel.R cppDefs_RCfunction.R
        cppDefs_nimbleFunction.R cppDefs_nimbleList.R
        cppDefs_modelValues.R cppDefs_cppProject.R
        cppDefs_outputCppFromRparseTree.R cppInterfaces_utils.R
        cppInterfaces_models.R cppInterfaces_modelValues.R
        cppInterfaces_nimbleFunctions.R cppInterfaces_otherTypes.R
        nimbleProject.R initializeModel.R parameterTransform.R CAR.R
        MCMC_utils.R MCMC_configuration.R MCMC_build.R MCMC_run.R
        MCMC_samplers.R MCMC_derived.R MCMC_conjugacy.R
        MCMC_autoBlock.R MCMC_RJ.R MCMC_WAIC.R MCEM_build.R
        crossValidation.R BNP_distributions.R BNP_samplers.R
        setupMargNodes.R NF_utils.R miscFunctions.R normTooling.R
        miscAlgorithms.R makevars.R setNimbleInternalFunctions.R
        registration.R nimble-package.r zzz.R
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2026-02-13 00:48:48 UTC; paciorek
Author: 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)
Repository: CRAN
Date/Publication: 2026-02-13 07:00:15 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-02-28 03:57:33 UTC; windows
Archs: x64
