Package: rkriging 1.0.2
rkriging: Kriging Modeling
An 'Eigen'-based computationally efficient 'C++' implementation for fitting various kriging models to data. This research is supported by U.S. National Science Foundation grant DMS-2310637.
Authors:
rkriging_1.0.2.tar.gz
rkriging_1.0.2.zip(r-4.7)rkriging_1.0.2.zip(r-4.6)rkriging_1.0.2.zip(r-4.5)
rkriging_1.0.2.tgz(r-4.6-x86_64)rkriging_1.0.2.tgz(r-4.6-arm64)rkriging_1.0.2.tgz(r-4.5-x86_64)rkriging_1.0.2.tgz(r-4.5-arm64)
rkriging_1.0.2.tar.gz(r-4.7-arm64)rkriging_1.0.2.tar.gz(r-4.7-x86_64)rkriging_1.0.2.tar.gz(r-4.6-arm64)rkriging_1.0.2.tar.gz(r-4.6-x86_64)
rkriging_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rkriging/json (API)
| # Install 'rkriging' in R: |
| install.packages('rkriging', repos = c('https://billhuang01.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9f7798b079. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 190 | ||
| linux-devel-x86_64 | OK | 179 | ||
| source / vignettes | OK | 229 | ||
| linux-release-arm64 | OK | 240 | ||
| linux-release-x86_64 | OK | 193 | ||
| macos-release-arm64 | OK | 219 | ||
| macos-release-x86_64 | OK | 527 | ||
| macos-oldrel-arm64 | OK | 303 | ||
| macos-oldrel-x86_64 | OK | 497 | ||
| windows-devel | OK | 289 | ||
| windows-release | OK | 191 | ||
| windows-oldrel | OK | 225 | ||
| wasm-release | OK | 137 |
Exports:Evaluate.KernelFit.KrigingGaussian.KernelGeneralized.Rational.KrigingGet.KernelGet.Kriging.ParametersLimit.KrigingMatern.KernelMatern12.KernelMatern32.KernelMatern52.KernelMultiplicativeMatern.KernelMultiplicativeRQ.KernelMultiplicativeUDF.KernelOrdinary.KrigingPredict.KrigingRational.KrigingRQ.KernelUDF.KernelUniversal.Kriging
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Evaluate Kernel | Evaluate.Kernel |
| Fit or Create Kriging Models | Fit.Kriging |
| Gaussian Kernel | Gaussian.Kernel |
| Generalized Rational Kriging | Generalized.Rational.Kriging |
| Kernel | Get.Kernel |
| Get Kriging Parameters | Get.Kriging.Parameters |
| Limit Kriging | Limit.Kriging |
| Generalized Matern Kernel | Matern.Kernel |
| Matern(1/2) Kernel | Matern12.Kernel |
| Matern(3/2) Kernel | Matern32.Kernel |
| Matern(5/2) Kernel | Matern52.Kernel |
| Multiplicative Generalized Matern Kernel | MultiplicativeMatern.Kernel |
| Multiplicative Rational Quadratic (RQ) Kernel | MultiplicativeRQ.Kernel |
| Multiplicative User Defined Function (UDF) Kernel | MultiplicativeUDF.Kernel |
| Ordinary Kriging | Ordinary.Kriging |
| Kriging Prediction | Predict.Kriging |
| Rational Kriging | Rational.Kriging |
| Rational Quadratic (RQ) Kernel | RQ.Kernel |
| User Defined Function (UDF) Kernel | UDF.Kernel |
| Universal Kriging | Universal.Kriging |
