intkrige
1.0.2A 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
- ERROR r-devel-linux-x86_64-fedora-clang
- ERROR r-devel-linux-x86_64-fedora-gcc
- ERROR2026-03-1012 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
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Dependencies
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Code & Tests
Test coverage
Line coverage
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Expression
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Tests / Examples
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Functions
47 4 exported
Complexity
4.9 avg / 47 max
Call network
47 nodes / 14 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet