Package: copulaedas 1.4.3
copulaedas: Estimation of Distribution Algorithms Based on Copulas
Provides a platform where EDAs (estimation of distribution algorithms) based on copulas can be implemented and studied. The package offers complete implementations of various EDAs based on copulas and vines, a group of well-known optimization problems, and utility functions to study the performance of the algorithms. Newly developed EDAs can be easily integrated into the package by extending an S4 class with generic functions for their main components.
Authors:
copulaedas_1.4.3.tar.gz
copulaedas_1.4.3.zip(r-4.5)copulaedas_1.4.3.zip(r-4.4)copulaedas_1.4.3.zip(r-4.3)
copulaedas_1.4.3.tgz(r-4.4-any)copulaedas_1.4.3.tgz(r-4.3-any)
copulaedas_1.4.3.tar.gz(r-4.5-noble)copulaedas_1.4.3.tar.gz(r-4.4-noble)
copulaedas_1.4.3.tgz(r-4.4-emscripten)copulaedas_1.4.3.tgz(r-4.3-emscripten)
copulaedas.pdf |copulaedas.html✨
copulaedas/json (API)
NEWS
| # Install 'copulaedas' in R: |
| install.packages('copulaedas', repos = c('https://yasserglez.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yasserglez/copulaedas/issues
Last updated 3 years agofrom:9e17659e56. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win | NOTE | Nov 13 2024 |
| R-4.5-linux | NOTE | Nov 13 2024 |
| R-4.4-win | OK | Nov 13 2024 |
| R-4.4-mac | OK | Nov 13 2024 |
| R-4.3-win | OK | Nov 13 2024 |
| R-4.3-mac | OK | Nov 13 2024 |
Exports:CEDAedaCriticalPopSizeedaIndepRunsedaLearnedaLearnCEDAedaLearnVEDAedaOptimizeedaOptimizeDisablededaReplaceedaReplaceCompleteedaReplaceRTRedaReportedaReportCombinededaReportDisablededaReportDumpPopedaReportDumpSelectedPopedaReportSimpleedaRunedaSampleedaSampleCEDAedaSampleVEDAedaSeededaSeedUniformedaSelectedaSelectTournamentedaSelectTruncationedaTerminateedaTerminateCombinededaTerminateEvaledaTerminateEvalStdDevedaTerminateMaxEvalsedaTerminateMaxGenfAckleyfGriewankfkernelfnormfRastriginfRosenbrockfSpherefSummationCancellationftrunckernelftruncnormpkernelptrunckernelqkernelqtrunckernelshowsummaryVEDA
Dependencies:ADGofTestcodetoolscolorspacecopulacubatureforeachgsliteratorslatticeMatrixmvtnormnumDerivpcaPPpsplineRcppstabledisttruncnormTSPvines
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Class for Copula EDAs | CEDA CEDA-class edaLearn,CEDA-method edaLearnCEDA edaSample,CEDA-method edaSampleCEDA |
| Base Class for EDAs | EDA-class edaOptimize,EDA-method edaReplace,EDA-method edaReport,EDA-method edaSeed,EDA-method edaSelect,EDA-method edaTerminate,EDA-method show,EDA-method |
| Critical Population Size | edaCriticalPopSize |
| Independent Runs | edaIndepRuns |
| Local Optimization Methods | edaOptimize edaOptimizeDisabled |
| Replacement Methods | edaReplace edaReplaceComplete edaReplaceRTR |
| Reporting Methods | edaReport edaReportCombined edaReportDisabled edaReportDumpPop edaReportDumpSelectedPop edaReportSimple |
| Class for the Results of a Run of an EDA | EDAResult-class show,EDAResult-method |
| Class for the Results of a Sequence of Runs of an EDA | EDAResults-class show,EDAResults-method summary,EDAResults-method |
| Main Loop of an EDA | edaLearn edaRun edaSample |
| Seeding Methods | edaSeed edaSeedUniform |
| Selection Methods | edaSelect edaSelectTournament edaSelectTruncation |
| Termination Methods | edaTerminate edaTerminateCombined edaTerminateEval edaTerminateEvalStdDev edaTerminateMaxEvals edaTerminateMaxGen |
| Marginal Distributions | fkernel fnorm ftrunckernel ftruncnorm pkernel ptrunckernel qkernel qtrunckernel |
| Benchmark Problems | fAckley fGriewank fRastrigin fRosenbrock fSphere fSummationCancellation |
| Class for Vine EDAs | edaLearn,VEDA-method edaLearnVEDA edaSample,VEDA-method edaSampleVEDA VEDA VEDA-class |
