DESCRIPTION

Type: Package
Package: greta
Title: Simple and Scalable Statistical Modelling in R
Version: 0.5.0
Authors@R: c(
    person("Nick", "Golding", , "nick.golding.research@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0001-8916-5570")),
    person("Nicholas", "Tierney", , "nicholas.tierney@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "https://orcid.org/0000-0003-1460-8722")),
    person("Simon", "Dirmeier", role = "ctb"),
    person("Adam", "Fleischhacker", role = "ctb"),
    person("Shirin", "Glander", role = "ctb"),
    person("Martin", "Ingram", role = "ctb"),
    person("Lee", "Hazel", role = "ctb"),
    person("Lionel", "Hertzog", role = "ctb"),
    person("Tiphaine", "Martin", role = "ctb"),
    person("Matt", "Mulvahill", role = "ctb"),
    person("Michael", "Quinn", role = "ctb"),
    person("David", "Smith", role = "ctb"),
    person("Paul", "Teetor", role = "ctb"),
    person("Jian", "Yen", role = "ctb")
  )
Description: Write statistical models in R and fit them by MCMC and
    optimisation on CPUs and GPUs, using Google 'TensorFlow'.  greta lets
    you write your own model like in BUGS, JAGS and Stan, except that you
    write models right in R, it scales well to massive datasets, and it’s
    easy to extend and build on.  See the website for more information,
    including tutorials, examples, package documentation, and the greta
    forum.
License: Apache License 2.0
URL: https://greta-stats.org, https://github.com/greta-dev/greta
BugReports: https://github.com/greta-dev/greta/issues
Depends:
    R (>= 4.1.0)
Imports:
    abind,
    callr,
    cli (>= 3.4.1),
    coda,
    future (>= 1.22.1),
    glue (>= 1.5.1),
    methods,
    parallelly (>= 1.29.0),
    progress (>= 1.2.0),
    R6,
    reticulate (>= 1.19.0),
    rlang,
    tensorflow (>= 2.8.0),
    tools,
    utils,
    whisker,
    yesno
Suggests:
    bayesplot,
    covr,
    cramer,
    DiagrammeR,
    dplyr,
    DiagrammeRsvg,
    extraDistr,
    fields,
    ggplot2,
    knitr,
    lattice,
    MASS,
    MCMCpack,
    mockery,
    mvtnorm,
    purrr,
    rmarkdown,
    rmutil,
    rsvg,
    spelling,
    testthat (>= 3.1.0),
    tibble,
    tidyr,
    truncdist,
    withr,
    rstudioapi
VignetteBuilder: 
    knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
SystemRequirements: Python (>= 2.7.0) with header files and shared
    library; TensorFlow (v1.14; https://www.tensorflow.org/); TensorFlow
    Probability (v0.7.0; https://www.tensorflow.org/probability/)
Collate:
    'package.R'
    'utils.R'
    'greta_mcmc_list.R'
    'tf_functions.R'
    'overloaded.R'
    'node_class.R'
    'node_types.R'
    'variable.R'
    'probability_distributions.R'
    'mixture.R'
    'joint.R'
    'unknowns_class.R'
    'greta_array_class.R'
    'as_data.R'
    'distribution.R'
    'operators.R'
    'functions.R'
    'transforms.R'
    'structures.R'
    'extract_replace_combine.R'
    'dag_class.R'
    'data-deps-tf-tfp.R'
    'greta_model_class.R'
    'progress_bar.R'
    'inference_class.R'
    'samplers.R'
    'optimisers.R'
    'optimiser_class.R'
    'inference.R'
    'install_tensorflow.R'
    'calculate.R'
    'callbacks.R'
    'simulate.R'
    'chol2symm.R'
    'install_greta_deps.R'
    'conda_greta_env.R'
    'greta_stash.R'
    'greta_create_conda_env.R'
    'greta_install_miniconda.R'
    'greta_install_python_deps.R'
    'new_install_process.R'
    'reinstallers.R'
    'checkers.R'
    'test_if_forked_cluster.R'
    'testthat-helpers.R'
    'write-logfiles.R'
    'zzz.R'
    'internals.R'
LazyData: true