Package: deepspat
Type: Package
Title: Deep Compositional Spatial Models
Date: 2025-11-20
Version: 0.3.1
Authors@R: c(person(given = "Andrew", family = "Zammit-Mangion", role = "aut"), 
             person(given = "Quan", family = "Vu", role = c("aut", "cre"),
             email = "quanvustats@gmail.com"),
             person(given = "Xuanjie", family = "Shao", role = "aut")
             )
Maintainer: Quan Vu <quanvustats@gmail.com>
Description: Deep compositional spatial models are standard spatial
        covariance models coupled with an injective warping function of
        the spatial domain. The warping function is constructed through
        a composition of multiple elemental injective functions in a
        deep-learning framework. The package implements two cases for
        the univariate setting; first, when these warping functions are
        known up to some weights that need to be estimated, and,
        second, when the weights in each layer are random. In the
        multivariate setting only the former case is available.
        Estimation and inference is done using `tensorflow`, which
        makes use of graphics processing units. For more details see
        Zammit-Mangion et al. (2022)
        <doi:10.1080/01621459.2021.1887741>, Vu et al. (2022)
        <doi:10.5705/ss.202020.0156>, Vu et al. (2023)
        <doi:10.1016/j.spasta.2023.100742>, and Shao et al. (2025)
        <doi:10.48550/arXiv.2505.12548>.
License: Apache License 2.0
Imports: data.table, dplyr, Matrix, methods, reticulate, keras,
        tensorflow, tfprobability, evd, SpatialExtremes, fields
SystemRequirements: TensorFlow (https://www.tensorflow.org/),
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
URL: https://cran.r-project.org/package=deepspat
BugReports: https://github.com/andrewzm/deepspat/issues
Config/pak/sysreqs: libpng-dev python3
Repository: https://andrewzm.r-universe.dev
Date/Publication: 2026-07-07 08:33:31 UTC
RemoteUrl: https://github.com/andrewzm/deepspat
RemoteRef: HEAD
RemoteSha: a7cac0344025bf58d4098e2b517434529c2901b1
Packaged: 2026-07-07 10:55:06 UTC; root
Author: Andrew Zammit-Mangion [aut],
  Quan Vu [aut, cre],
  Xuanjie Shao [aut]