Package: tulpa
Title: Templated Unified Library for Posterior Approximation in
        Bayesian Hierarchical Models
Version: 0.7.5
Authors@R: c(
    person("Gilles", "Colling", , "gilles.colling051@gmail.com", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0003-3070-6066")),
    person("Frances Y.", "Kuo", role = c("ctb", "cph"),
           comment = "Sobol direction numbers in src/sobol_direction_numbers.h, BSD-3-clause"),
    person("Stephen", "Joe", role = c("ctb", "cph"),
           comment = "Sobol direction numbers in src/sobol_direction_numbers.h, BSD-3-clause"),
    person("Arm Limited", role = "cph",
           comment = "exp and log routines in src/fastmath.h and src/fastmath_data.cpp, MIT"),
    person("The Walnutpie Developers", role = "cph",
           comment = "WALNUTS transition in src/hmc_walnuts.cpp, ported from walnutpie, MIT"))
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
        <doi:10.1007/s11222-022-10167-2>), nearest-neighbor Gaussian
        processes (NNGP; Datta et al. 2016
        <doi:10.1080/01621459.2015.1044091>), intrinsic conditional
        autoregressive models (ICAR; Besag, York, and Mollie 1991
        <doi:10.1007/BF00116466>), the reparameterized
        Besag-York-Mollie model (BYM2; Riebler et al. 2016
        <doi:10.1177/0962280216660421>), and stochastic partial
        differential equation fields (SPDE; Lindgren, Rue, and
        Lindstrom 2011 <doi:10.1111/j.1467-9868.2011.00777.x>).
        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
        <doi:10.1111/j.1467-9868.2008.00700.x>), and variational
        inference. Model-specific packages plug observation likelihoods
        into the engine through a templated C++ callback interface.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
SystemRequirements: C++17
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.12), Matrix, tulpaMesh (>= 0.1.3), generics,
        stats, tools, utils, methods, graphics, grDevices
Suggests: testthat (>= 3.0.0), bayesplot, coda, ggplot2, sf, terra,
        knitr, rmarkdown, posterior (>= 1.5.0), loo (>= 2.7.0),
        rstantools, lme4, nlme, lmtest, numDeriv, spdep, MASS, betareg,
        glmmTMB, pscl, tweedie, fmesher, patchwork, stars, statmod,
        withr
LinkingTo: Rcpp, RcppEigen, Matrix
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/gcol33/tulpa, https://gillescolling.com/tulpa/
BugReports: https://github.com/gcol33/tulpa/issues
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: cmake
Repository: https://gcol33.r-universe.dev
Date/Publication: 2026-10-12 11:04:46 UTC
RemoteUrl: https://github.com/gcol33/tulpa
RemoteRef: HEAD
RemoteSha: 265a79f2a345fb7f3cd6cd9366004e1a2a7c2db2
NeedsCompilation: yes
Packaged: 2026-10-12 16:02:59 UTC; root
Author: Gilles Colling [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-3070-6066>),
  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),
  Arm Limited [cph] (exp and log routines in src/fastmath.h and
    src/fastmath_data.cpp, MIT),
  The Walnutpie Developers [cph] (WALNUTS transition in
    src/hmc_walnuts.cpp, ported from walnutpie, MIT)
Maintainer: Gilles Colling <gilles.colling051@gmail.com>