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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>Templated Unified Library for Posterior Approximation in
Bayesian Hierarchical Models</dc:title>
  <dc:title>R package tulpa version 0.6.0</dc:title>
  <dc:description>A general-purpose engine for fitting Bayesian hierarchical models
    with spatial fields, temporal effects, spatially varying coefficients, and
    multiple inference backends. Scalable spatial structure includes Hilbert
    space approximate Gaussian processes (HSGP; Riutort-Mayol et al. 2023
    &lt;doi:10.1007/s11222-022-10167-2&gt;), nearest-neighbor Gaussian processes
    (NNGP; Datta et al. 2016 &lt;doi:10.1080/01621459.2015.1044091&gt;), intrinsic
    conditional autoregressive models (ICAR; Besag, York, and Mollie 1991
    &lt;doi:10.1007/BF00116466&gt;), the reparameterized Besag-York-Mollie model
    (BYM2; Riebler et al. 2016 &lt;doi:10.1177/0962280216660421&gt;), and stochastic
    partial differential equation fields (SPDE; Lindgren, Rue, and Lindstrom
    2011 &lt;doi:10.1111/j.1467-9868.2011.00777.x&gt;). Temporal structure covers
    random walks, autoregressive processes, and Gaussian processes. Inference
    is tiered by correctness guarantee: exact Hamiltonian Monte Carlo with the
    No-U-Turn sampler, Laplace and nested Laplace approximations with
    hyperparameter integration (Rue, Martino, and Chopin 2009
    &lt;doi:10.1111/j.1467-9868.2008.00700.x&gt;), and variational inference.
    Model-specific packages plug observation likelihoods into the engine
    through a templated C++ callback interface.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.12), Matrix, tulpaMesh (&gt;= 0.1.3), generics,
stats, tools, utils, methods, graphics, grDevices</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppEigen, Matrix</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0), bayesplot, ggplot2, sf, terra, knitr,
rmarkdown, posterior (&gt;= 1.5.0), loo (&gt;= 2.7.0), rstantools,
lme4, nlme, lmtest, numDeriv, spdep, MASS, betareg, glmmTMB,
pscl, tweedie, fmesher, patchwork, stars, statmod, withr</dc:relation>
  <dc:creator>Gilles Colling &lt;gilles.colling051@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Gilles Colling [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0003-3070-6066&gt;),
  Frances Y. Kuo [ctb, cph] (Sobol direction numbers in
    src/sobol_direction_numbers.h, BSD-3-clause),
  Stephen Joe [ctb, cph] (Sobol direction numbers in
    src/sobol_direction_numbers.h, BSD-3-clause)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=tulpa/LICENSE)</dc:rights>
  <dc:date>2026-09-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=tulpa</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.tulpa</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
