Package: IRR2FPR 0.1.1

František Bartoš

IRR2FPR: Computing False Positive Rate from Inter-Rater Reliability

Implements a 'Shiny Item Analysis' module and functions for computing false positive rate and other binary classification metrics from inter-rater reliability based on Bartoš & Martinková (2024) <doi:10.1111/bmsp.12343>.

Authors:František Bartoš [aut, cre]

IRR2FPR_0.1.1.tar.gz
IRR2FPR_0.1.1.zip(r-4.5)IRR2FPR_0.1.1.zip(r-4.4)IRR2FPR_0.1.1.zip(r-4.3)
IRR2FPR_0.1.1.tgz(r-4.5-any)IRR2FPR_0.1.1.tgz(r-4.4-any)IRR2FPR_0.1.1.tgz(r-4.3-any)
IRR2FPR_0.1.1.tar.gz(r-4.5-noble)IRR2FPR_0.1.1.tar.gz(r-4.4-noble)
IRR2FPR_0.1.1.tgz(r-4.4-emscripten)IRR2FPR_0.1.1.tgz(r-4.3-emscripten)
IRR2FPR.pdf |IRR2FPR.html✨
IRR2FPR/json (API)
NEWS

# Install 'IRR2FPR' in R:
install.packages('IRR2FPR', repos = c('https://siaverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fbartos/irr2fpr/issues

On CRAN:

Conda:

1.70 score 3 scripts 194 downloads 5 exports 31 dependencies

Last updated 22 days agofrom:02e92caa42. Checks:8 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 25 2025
R-4.5-winOKFeb 25 2025
R-4.5-macOKFeb 25 2025
R-4.5-linuxOKFeb 25 2025
R-4.4-winOKFeb 25 2025
R-4.4-macOKFeb 25 2025
R-4.3-winOKFeb 25 2025
R-4.3-macOKFeb 25 2025

Exports:compute_false_negative_ratecompute_false_positive_ratecompute_proportion_of_correctly_selectedcompute_true_positive_ratespearman_brown_formula

Dependencies:base64encbslibcachemclicommonmarkcrayondigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimemvtnormpromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable