intkrige: A Numerical Implementation of Interval-Valued Kriging

An interval-valued extension of ordinary and simple kriging. Optimization of the function is based on a generalized interval distance. This creates a non-differentiable cost function that requires a differentiable approximation to the absolute value function. This differentiable approximation is optimized using a Newton-Raphson algorithm with a penalty function to impose the constraints. Analyses in the package are driven by the 'intsp' and 'intgrd' classes, which are interval-valued extensions of 'SpatialPointsDataFrame' and 'SpatialPixelsDataFrame' respectively. The package includes several wrappers to functions in the 'gstat' and 'sp' packages.

Version: 1.0.1
Depends: R (≥ 3.5.0), sp (≥ 1.3-1), gstat, raster
Imports: Rcpp (≥ 1.0.0), Rdpack, methods, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: doParallel, foreach, lattice, latticeExtra, grid, gridExtra, testthat, knitr, rmarkdown
Published: 2020-02-07
Author: Brennan Bean [aut, cre]
Maintainer: Brennan Bean <brennan.bean at usu.edu>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: intkrige results

Downloads:

Reference manual: intkrige.pdf
Vignettes: Introducing the Interval-Valued Kriging Workflow
Package source: intkrige_1.0.1.tar.gz
Windows binaries: r-prerelease: intkrige_1.0.1.zip, r-release: intkrige_1.0.1.zip, r-oldrel: intkrige_1.0.1.zip
macOS binaries: r-prerelease: intkrige_1.0.1.tgz, r-release: intkrige_1.0.1.tgz, r-oldrel: intkrige_1.0.1.tgz
Old sources: intkrige archive

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