Package: DiceEval 1.6.1
DiceEval: Construction and Evaluation of Metamodels
Estimation, validation and prediction of models of different types : linear models, additive models, MARS,PolyMARS and Kriging.
Authors:
DiceEval_1.6.1.tar.gz
DiceEval_1.6.1.zip(r-4.7-any)DiceEval_1.6.1.zip(r-4.6-any)DiceEval_1.6.1.zip(r-4.5-any)
DiceEval_1.6.1.tgz(r-4.6-any)DiceEval_1.6.1.tgz(r-4.5-any)
DiceEval_1.6.1.tar.gz(r-4.7-any)DiceEval_1.6.1.tar.gz(r-4.6-any)
DiceEval_1.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DiceEval/json (API)
| # Install 'DiceEval' in R: |
| install.packages('DiceEval', repos = c('https://chelbert.r-universe.dev', 'https://cloud.r-project.org')) |
- dataIRSN5D - 5D benchmark from nuclear criticality safety assessments
- testIRSN5D - A set of test data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:2b755fbf9c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 86 | ||
| source / vignettes | OK | 148 | ||
| linux-release | OK | 133 | ||
| macos-release | OK | 163 | ||
| macos-oldrel | OK | 152 | ||
| windows-devel | OK | 63 | ||
| windows-release | OK | 65 | ||
| windows-oldrel | OK | 76 | ||
| wasm-release | OK | 94 |
Exports:crossValidationformulaAmformulaLmMAEmodelComparisonmodelFitmodelPredictpenaltyPolyMARSR2residualsStudyRMARMSEstepEvolutiontestCrossValidation
Dependencies:DiceKriging
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Metamodels | DiceEval-package DiceEval |
| K-fold Cross Validation | crossValidation |
| 5D benchmark from nuclear criticality safety assessments | dataIRSN5D |
| Mean Absolute Error | MAE |
| Comparison of different types of metamodels | modelComparison |
| Fitting metamodels | modelFit |
| Prediction at newdata for a fitted metamodel | modelPredict |
| Choice of the penalty parameter for a PolyMARS model | penaltyPolyMARS |
| Multiple R-Squared | R2 |
| Plot residuals | residualsStudy |
| Relative Maximal Absolute Error | RMA |
| Root Mean Squared Error | RMSE |
| Evolution of the stepwise model | stepEvolution |
| Test the robustess of the cross-validation procedure | testCrossValidation |
| A set of test data | testIRSN5D |