Package: IRR2FPR 0.1

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 (2022) <doi:10.48550/arXiv.2207.09101>.

Authors:František Bartoš [aut, cre]

IRR2FPR_0.1.tar.gz
IRR2FPR_0.1.zip(r-4.5)IRR2FPR_0.1.zip(r-4.4)IRR2FPR_0.1.zip(r-4.3)
IRR2FPR_0.1.tgz(r-4.4-any)IRR2FPR_0.1.tgz(r-4.3-any)
IRR2FPR_0.1.tar.gz(r-4.5-noble)IRR2FPR_0.1.tar.gz(r-4.4-noble)
IRR2FPR_0.1.tgz(r-4.4-emscripten)IRR2FPR_0.1.tgz(r-4.3-emscripten)
IRR2FPR.pdf |IRR2FPR.html✨
IRR2FPR/json (API)
NEWS

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

Peer review:

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

On CRAN:

3.00 score 1 stars 3 scripts 171 downloads 5 exports 31 dependencies

Last updated 7 months agofrom:6a00d554b6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-winOKNov 07 2024
R-4.5-linuxOKNov 07 2024
R-4.4-winOKNov 07 2024
R-4.4-macOKNov 07 2024
R-4.3-winOKNov 07 2024
R-4.3-macOKNov 07 2024

Exports:compute_false_negative_ratecompute_false_positive_ratecompute_proportion_of_correctly_selectedcompute_true_positive_ratespearman_brown_formula

Dependencies:base64encbslibcachemclicommonmarkcrayondigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimemvtnormpromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable