Package: caRamel 1.5
caRamel: Automatic Calibration by Evolutionary Multi Objective Algorithm
The caRamel optimizer has been developed to meet the requirement for an automatic calibration procedure that delivers a family of parameter sets that are optimal with regard to a multi-objective target (Monteil et al. <doi:10.5194/hess-24-3189-2020>).
Authors:
caRamel_1.5.tar.gz
caRamel_1.5.tar.gz(r-4.7-arm64)caRamel_1.5.tar.gz(r-4.7-x86_64)caRamel_1.5.tar.gz(r-4.6-arm64)caRamel_1.5.tar.gz(r-4.6-x86_64)
caRamel_1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
caRamel/json (API)
NEWS
| # Install 'caRamel' in R: |
| install.packages('caRamel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fzao/caramel/issues
Last updated from:cfa20bd3fa. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 116 | ||
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 185 | ||
| linux-release-arm64 | OK | 110 | ||
| linux-release-x86_64 | OK | 124 | ||
| wasm-release | OK | 108 |
Exports:boxescaRamelCextrapCinterpCrecombinationCusecovardecrease_popDimprovedominatedominateddownsizematvcovnewXvalparetoplot_caramelplot_paretoplot_populationrselectval2rankvol_splx
Dependencies:abindgeometrylinproglpSolvemagicRcppRcppProgress
Dealing with constraints
Rendered fromConstraints.Rmdusingknitr::rmarkdownon Jun 12 2026.Last update: 2020-09-17
Started: 2020-09-17
Using a Python function with caRamel
Rendered fromPythonFunction.Rmdusingknitr::rmarkdownon Jun 12 2026.Last update: 2022-02-25
Started: 2022-02-25
Compute several Pareto fronts for a better global result
Rendered fromMultiPareto.Rmdusingknitr::rmarkdownon Jun 12 2026.Last update: 2022-02-25
Started: 2022-02-25
Three ways to call the user functions
Rendered fromCarallel.Rmdusingknitr::rmarkdownon Jun 12 2026.Last update: 2022-02-25
Started: 2022-02-25
Multi-caRamel optimization with MPI
Rendered fromMPI.Rmdusingknitr::rmarkdownon Jun 12 2026.Last update: 2022-02-25
Started: 2022-02-25
Sensitivity of the Pareto front
Rendered fromSensitivity.Rmdusingknitr::rmarkdownon Jun 12 2026.Last update: 2020-09-17
Started: 2020-09-17
Using caRamel on two benchmark tests
Rendered fromBenchmark.Rmdusingknitr::rmarkdownon Jun 12 2026.Last update: 2022-02-25
Started: 2020-09-17
