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:Felipe Campelo [aut, cre], Fernanda Takahashi [ctb], Elizabeth Wanner [ctb]

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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'))

Peer review:

Bug tracker:https://github.com/fcampelo/caiser/issues

On CRAN:

4.32 score 2 stars 21 scripts 329 downloads 13 exports 31 dependencies

Last updated 2 years agofrom:5d4210b6b9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:boot_sdmcalc_instancescalc_nrepscalc_seconsolidate_partial_resultsdummyalgodummyinstanceexample_SANNget_observationsrun_experimentse_bootse_paramTSP.dist

Dependencies:assertthatclicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepbmcapplypillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Adapting Algorithms for CAISEr

Felipe Campelo

Rendered fromAdapting_Algorithm_for_CAISEr.Rmdusingknitr::rmarkdownon Nov 14 2024.

Last update: 2022-11-16
Started: 2017-10-16