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

Pkgdown site:https://fcampelo.github.io

On CRAN:

4.32 score 2 stars 21 scripts 304 downloads 13 exports 31 dependencies

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

TargetResultLatest binary
Doc / VignettesOKJan 13 2025
R-4.5-winOKJan 13 2025
R-4.5-linuxOKJan 13 2025
R-4.4-winOKJan 13 2025
R-4.4-macOKJan 13 2025
R-4.3-winOKJan 13 2025
R-4.3-macOKJan 13 2025

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 Jan 13 2025.

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