Package: spconform
Type: Package
Title: Conformal Prediction for Spatially and Spatio-Temporally
        Dependent Data
Version: 0.1.1
Authors@R: person(given = "Ahmed Sattar", family = "Jabbar",
                   email = "ahmed.state.me@gmail.com", 
                   role = c("aut", "cre"),
                   comment = c(ORCID = "0009-0006-4614-735X"))
Description: Provides distribution-free, model-agnostic prediction
    intervals for spatially and spatio-temporally dependent data using
    localized conformal calibration. Implements locally weighted split
    conformal prediction for geostatistical (point-referenced) data based on
    spatial-distance kernels, and a neighbourhood-weighted conformal
    procedure for areal (lattice) data based on graph adjacency structures.
    Relaxes the standard exchangeability assumption using spatial proximity,
    following the localized conformal framework of Mao, Martin and Reich
    (2024) <doi:10.1080/01621459.2022.2147531>. Includes comprehensive
    spatial diagnostic tools to audit empirical coverage, conditional
    spatial strata, and boundary proximity effects.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, sp
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-09-24 10:02:14 UTC; intel
Author: Ahmed Sattar Jabbar [aut, cre] (ORCID:
    <https://orcid.org/0009-0006-4614-735X>)
Maintainer: Ahmed Sattar Jabbar <ahmed.state.me@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-24 12:20:02 UTC
