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-4.7-any)IRR2FPR_0.1.zip(r-4.6-any)IRR2FPR_0.1.zip(r-4.5-any)
IRR2FPR_0.1.tgz(r-4.6-any)IRR2FPR_0.1.tgz(r-4.5-any)
IRR2FPR_0.1.tar.gz(r-4.7-any)IRR2FPR_0.1.tar.gz(r-4.6-any)
IRR2FPR_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
IRR2FPR/json (API)

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

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

On CRAN:

Conda:

2.70 score 1 stars 3 scripts 227 downloads 5 exports 31 dependencies

Last updated from:6a00d554b6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK106
source / vignettesOK147
linux-releaseOK100
macos-releaseOK95
macos-oldrelOK115
windows-develOK86
windows-releaseOK79
windows-oldrelOK88
wasm-releaseOK91

Exports:compute_false_negative_ratecompute_false_positive_ratecompute_proportion_of_correctly_selectedcompute_true_positive_ratespearman_brown_formula

Dependencies:base64encbslibcachemclicommonmarkdigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimemvtnormotelpromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable