Package: CAISEr 1.0.17
CAISEr: Comparison of Algorithms with Iterative Sample Size Estimation
Functions for performing experimental comparisons of algorithms using adequate sample sizes for power and accuracy. Implements the methodology originally presented in Campelo and Takahashi (2019) <doi:10.1007/s10732-018-9396-7> for the comparison of two algorithms, and later generalised in Campelo and Wanner (Submitted, 2019) <arxiv:1908.01720>.
Authors:
CAISEr_1.0.17.tar.gz
CAISEr_1.0.17.zip(r-4.5)CAISEr_1.0.17.zip(r-4.4)CAISEr_1.0.17.zip(r-4.3)
CAISEr_1.0.17.tgz(r-4.5-any)CAISEr_1.0.17.tgz(r-4.4-any)CAISEr_1.0.17.tgz(r-4.3-any)
CAISEr_1.0.17.tar.gz(r-4.5-noble)CAISEr_1.0.17.tar.gz(r-4.4-noble)
CAISEr_1.0.17.tgz(r-4.4-emscripten)CAISEr_1.0.17.tgz(r-4.3-emscripten)
CAISEr.pdf |CAISEr.html✨
CAISEr/json (API)
NEWS
| # Install 'CAISEr' in R: |
| install.packages('CAISEr', repos = c('https://fcampelo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fcampelo/caiser/issues
Pkgdown site:https://fcampelo.github.io
Last updated 2 years agofrom:5d4210b6b9. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 14 2025 |
| R-4.5-win | OK | Mar 14 2025 |
| R-4.5-mac | OK | Mar 14 2025 |
| R-4.5-linux | OK | Mar 14 2025 |
| R-4.4-win | OK | Mar 14 2025 |
| R-4.4-mac | OK | Mar 14 2025 |
| R-4.4-linux | OK | Mar 14 2025 |
| R-4.3-win | OK | Mar 14 2025 |
| R-4.3-mac | OK | Mar 14 2025 |
Exports:boot_sdmcalc_instancescalc_nrepscalc_seconsolidate_partial_resultsdummyalgodummyinstanceexample_SANNget_observationsrun_experimentse_bootse_paramTSP.dist
Dependencies:assertthatclicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepbmcapplypillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bootstrap the sampling distribution of the mean | boot_sdm |
| Calculates number of instances for the comparison of multiple algorithms | calc_instances |
| Determine sample sizes for a set of algorithms on a single problem instance | calc_nreps |
| Calculates the standard error for simple and percent differences | calc_se |
| Consolidate results from partial files | consolidate_partial_results |
| Dummy algorithm routine to test the sampling procedures | dummyalgo |
| Dummy instance routine to test the sampling procedures | dummyinstance |
| Simulated annealing (for testing/examples) | example_SANN |
| Run an algorithm on a problem. | get_observations |
| plot.CAISEr | plot.CAISEr |
| plot.nreps | plot.nreps |
| print.CAISEr | print.CAISEr |
| Run a full experiment for comparing multiple algorithms using multiple instances | run_experiment |
| Bootstrap standard errors | se_boot |
| Parametric standard errors | se_param |
| summary.CAISEr | summary.CAISEr |
| summary.nreps | summary.nreps |
| TSP instance generator (for testing/examples) | TSP.dist |
