Package: pinnr
Type: Package
Title: Physics-Informed Neural Networks in Native R with 'torch'
Version: 0.1.1
Authors@R: 
    person("Samson", "Obasanmi", email = "obasanmisamson722@gmail.com",
           role = c("aut", "cre"),
           comment = c(ORCID = "0009-0009-6935-5479"))
Description: Fits physics-informed neural networks (PINNs) that solve
        ordinary and partial differential equations and estimate
        unknown model parameters from data. Networks are trained by
        penalising the equation residual, boundary and initial
        conditions, and misfit to observations, following Raissi,
        Perdikaris and Karniadakis (2019)
        <doi:10.1016/j.jcp.2018.10.045>. Everything runs in native R on
        top of 'torch', with no 'Python' dependency, and ordinary
        differential equation models written as 'deSolve'-style
        derivative functions can be used directly.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: torch (>= 0.13.0), stats, graphics, grDevices, utils
Suggests: deSolve, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://obasanmii.github.io/pinnr/,
        https://github.com/Obasanmii/pinnr
BugReports: https://github.com/Obasanmii/pinnr/issues
Roxygen: list(markdown = TRUE)
Config/roxygen2/version: 8.1.1
Repository: https://obasanmii.r-universe.dev
Date/Publication: 2026-11-01 22:09:58 UTC
RemoteUrl: https://github.com/Obasanmii/pinnr
RemoteRef: HEAD
RemoteSha: 1d900c81efe9b4c9316db3f09f04fe1329f677b1
NeedsCompilation: no
Packaged: 2026-11-01 23:37:32 UTC; root
Author: Samson Obasanmi [aut, cre] (ORCID:
    <https://orcid.org/0009-0009-6935-5479>)
Maintainer: Samson Obasanmi <obasanmisamson722@gmail.com>