A Numerical Implementation of Interval-Valued Kriging
Overview
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.
Install
Health
ERRORtestsr-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
r-devel-linux-x86_64-fedora-clang
Running ‘testthat.R’ [91m/58m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(intkrige)
Loading required package: sp
Loading required package: gstat
Loading required package: raster
>
> test_check("intkrige")
[generalized least squares trend estimation]
[generalized least squares trend estimation]
[generalized least squares trend estimation]
OMP: Warning #96: Cannot form a team with 28 threads, using 2 instead.
OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).r-devel-linux-x86_64-fedora-gcc
Running ‘testthat.R’ [91m/58m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(intkrige)
Loading required package: sp
Loading required package: gstat
Loading required package: raster
>
> test_check("intkrige")
[generalized least squares trend estimation]
[generalized least squares trend estimation]
[generalized least squares trend estimation]- ERROR11 OK, 2 ERRORNow
- ERROR12 OK, 2 ERROR2026-03-10
Documentation
- Help pages
- 31includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 92%
- Return-value docs
- 75%
- Help pages citing references
- 10% with a bibliography file
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.12020-02-08 · diff ↗
- 1.0.02019-07-07
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-07-07
- Total releases
- 3 / 7 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 72 KB / 5 files
- Download size
- 282 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("intkrige")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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