Package: ebaTools 0.1.0

Ryan McGill

ebaTools: Evidence-Based Assessment Tools for Diagnostic Test Evaluation

Provides functions for evidence-based assessment of diagnostic tests. Includes calculation of common diagnostic accuracy statistics, Bayesian updating of probabilities, interpretation of likelihood ratios, and visualization using a Fagan nomogram.

Authors:Ryan McGill [aut, cre]

ebaTools_0.1.0.tar.gz
ebaTools_0.1.0.zip(r-4.7-any)ebaTools_0.1.0.zip(r-4.6-any)ebaTools_0.1.0.zip(r-4.5-any)
ebaTools_0.1.0.tgz(r-4.6-any)ebaTools_0.1.0.tgz(r-4.5-any)
ebaTools_0.1.0.tar.gz(r-4.7-any)ebaTools_0.1.0.tar.gz(r-4.6-any)
ebaTools_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ebaTools/json (API)

# Install 'ebaTools' in R:
install.packages('ebaTools', repos = c('https://rmcgill777.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rmcgill777/ebatools/issues

On CRAN:

Conda:

2.70 score 224 downloads 4 exports 0 dependencies

Last updated from:43cf2e9476. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK101
source / vignettesOK146
linux-releaseOK96
macos-releaseOK132
macos-oldrelOK186
windows-develOK56
windows-releaseOK51
windows-oldrelOK73
wasm-releaseOK100

Exports:bayes_updateeba_interpretationeba_statsfagan_nomogram

Dependencies: