Package: BMEmapping
Type: Package
Title: Spatial Interpolation using Bayesian Maximum Entropy (BME)
Version: 1.2.2
Authors@R: c(
    person("Kinspride", "Duah", email = "kinspride2020@gmail.com", 
    role = c("aut", "cre", "cph"), comment = c(ORCID = "0009-0004-3990-7985")),
    person("Yan", "Sun", email = "yan.sun@usu.edu", role = "aut"))
Maintainer: Kinspride Duah <kinspride2020@gmail.com>
Description: 
    Provides an accessible and robust implementation of core BME 
    methodologies for spatial prediction. It enables the systematic integration 
    of heterogeneous data sources including both hard data (precise 
    measurements) and soft interval data (bounded or uncertain observations) 
    while incorporating prior knowledge and supporting variogram-based spatial 
    modeling. The BME methodology is described in Christakos (1990) 
    <doi:10.1007/BF00890661> and Serre and Christakos (1999) 
    <doi:10.1007/s004770050029>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/KinsprideDuah/BMEmapping
BugReports: https://github.com/KinsprideDuah/BMEmapping/issues
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
Imports: ggplot2, gridExtra, mvtnorm, stats, utils
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-19 16:56:19 UTC; kwaku
Author: Kinspride Duah [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0004-3990-7985>),
  Yan Sun [aut]
Repository: CRAN
Date/Publication: 2025-08-19 17:20:08 UTC
Built: R 4.6.0; ; 2026-04-27 23:55:09 UTC; unix
