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