Package: auctestr 1.0.0

auctestr: Statistical Testing for AUC Data

Performs statistical testing to compare predictive models based on multiple observations of the A' statistic (also known as Area Under the Receiver Operating Characteristic Curve, or AUC). Specifically, it implements a testing method based on the equivalence between the A' statistic and the Wilcoxon statistic. For more information, see Hanley and McNeil (1982) <doi:10.1148/radiology.143.1.7063747>.

Authors:Josh Gardner [aut, cre]

auctestr_1.0.0.tar.gz
auctestr_1.0.0.zip(r-4.5)auctestr_1.0.0.zip(r-4.4)auctestr_1.0.0.zip(r-4.3)
auctestr_1.0.0.tgz(r-4.4-any)auctestr_1.0.0.tgz(r-4.3-any)
auctestr_1.0.0.tar.gz(r-4.5-noble)auctestr_1.0.0.tar.gz(r-4.4-noble)
auctestr_1.0.0.tgz(r-4.4-emscripten)auctestr_1.0.0.tgz(r-4.3-emscripten)
auctestr.pdf |auctestr.html✨
auctestr/json (API)
NEWS

# Install 'auctestr' in R:
install.packages('auctestr', repos = c('https://jpgard.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jpgard/auctestr/issues

Datasets:
  • sample_experiment_data - Performance of several predictive models over three different datasets, using multiple cutoff points for time within each dataset.

On CRAN:

4 exports 2 stars 1.10 score 21 dependencies 1 mentions 7 scripts 227 downloads

Last updated 7 years agofrom:42fff7b74f. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winNOTESep 06 2024
R-4.5-linuxNOTESep 06 2024
R-4.4-winNOTESep 06 2024
R-4.4-macNOTESep 06 2024
R-4.3-winNOTESep 06 2024
R-4.3-macNOTESep 06 2024

Exports:auc_comparefbh_testse_aucstouffer_z

Dependencies:clicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Introduction To The auctestr Package

Josh Gardner

Rendered frombasic-auctestr-vignette.Rmdusingknitr::rmarkdownon Sep 06 2024.

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