geopytorch: R Interface to 'GeoPyTorch'

Fits ordinary kriging and spatial linear models through 'reticulate' with the 'GeoPyTorch' 'Python' package, which is built on 'GPyTorch' and 'PyTorch'. Covariance parameters can be fixed or estimated by maximum likelihood or restricted maximum likelihood, and predictions include their variances. 'Python' and the required packages are installed on first use by 'reticulate'.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: reticulate (≥ 1.41.0), stats
Suggests: testthat (≥ 3.0.0)
Published: 2026-10-21
DOI: 10.32614/CRAN.package.geopytorch
Author: Daniel Tinoco [aut, cre]
Maintainer: Daniel Tinoco <dbtnc.ps2 at gmail.com>
BugReports: https://github.com/dbtnc/geopytorch/issues
License: MIT + file LICENSE
URL: https://github.com/dbtnc/geopytorch
NeedsCompilation: no
SystemRequirements: Python (>= 3.12)
Materials: README, NEWS
CRAN checks: geopytorch results

Documentation:

Reference manual: geopytorch.html , geopytorch.pdf

Downloads:

Package source: geopytorch_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: geopytorch_0.1.0.zip
macOS binaries: r-release (arm64): geopytorch_0.1.0.tgz, r-oldrel (arm64): geopytorch_0.1.0.tgz, r-release (x86_64): geopytorch_0.1.0.tgz, r-oldrel (x86_64): geopytorch_0.1.0.tgz

Linking:

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