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 296 downloads 13 exports 31 dependencies

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

TargetResultDate
Doc / VignettesOKOct 15 2024
R-4.5-winOKOct 15 2024
R-4.5-linuxOKOct 15 2024
R-4.4-winOKOct 15 2024
R-4.4-macOKOct 15 2024
R-4.3-winOKOct 15 2024
R-4.3-macOKOct 15 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 Oct 15 2024.

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