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-4.5)DiceEval_1.6.1.zip(r-4.4)DiceEval_1.6.1.zip(r-4.3)
DiceEval_1.6.1.tgz(r-4.4-any)DiceEval_1.6.1.tgz(r-4.3-any)
DiceEval_1.6.1.tar.gz(r-4.5-noble)DiceEval_1.6.1.tar.gz(r-4.4-noble)
DiceEval_1.6.1.tgz(r-4.4-emscripten)DiceEval_1.6.1.tgz(r-4.3-emscripten)
DiceEval.pdf |DiceEval.html✨
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 10 months agofrom:2b755fbf9c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 09 2024 |
| R-4.5-win | OK | Sep 09 2024 |
| R-4.5-linux | OK | Sep 09 2024 |
| R-4.4-win | OK | Sep 09 2024 |
| R-4.4-mac | OK | Sep 09 2024 |
| R-4.3-win | OK | Sep 09 2024 |
| R-4.3-mac | OK | Sep 09 2024 |
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 |
