Package: greta
Type: Package
Title: Simple and Scalable Statistical Modelling in R
Version: 0.2.3
Date: 2018-01-23
Authors@R: person("Nick", "Golding", role = c("aut", "cre"),
    email = "nick.golding.research@gmail.com")
Description: Write statistical models in R and fit them by MCMC on CPUs and GPUs, using Google TensorFlow (see <https://goldingn.github.io/greta> for more information).
License: Apache License 2.0
URL: https://github.com/greta-dev/greta
BugReports: https://github.com/greta-dev/greta/issues
SystemRequirements: Python (>= 2.7.0) with header files and shared
        library; TensorFlow (>= 1.0.0; https://www.tensorflow.org/)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0)
Collate: 'package.R' 'utils.R' 'tf_functions.R' 'overloaded.R'
        'node_class.R' 'node_types.R' 'variable.R'
        'probability_distributions.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' 'greta_model_class.R'
        'progress_bar.R' 'samplers.R' 'inference.R'
        'install_tensorflow.R' 'internals.R'
Imports: R6, tensorflow, reticulate, progress, coda
Suggests: knitr, rmarkdown, DiagrammeR, bayesplot, lattice, testthat,
        mvtnorm, MCMCpack, rmutil, extraDistr, truncdist
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-23 03:58:14 UTC; nick
Author: Nick Golding [aut, cre]
Maintainer: Nick Golding <nick.golding.research@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-23 04:32:35 UTC
Built: R 3.3.3; ; 2018-04-22 18:01:36 UTC; windows
