Package: ONEST 0.1.0

ONEST: Observers Needed to Evaluate Subjective Tests

This ONEST software implements the method of assessing the pathologist agreement in reading PD-L1 assays (Reisenbichler et al. (2020 <doi:10.1038/s41379-020-0544-x>)), to determine the minimum number of evaluators needed to estimate agreement involving a large number of raters. Input to the program should be binary(1/0) pathology data, where “0” may stand for negative and “1” for positive. Additional examples were given using the data from Rimm et al. (2017 <doi:10.1001/jamaoncol.2017.0013>).

Authors:Gang Han [aut, cre], Baihong Guo [aut]

ONEST_0.1.0.tar.gz
ONEST_0.1.0.zip(r-4.5)ONEST_0.1.0.zip(r-4.4)ONEST_0.1.0.zip(r-4.3)
ONEST_0.1.0.tgz(r-4.4-any)ONEST_0.1.0.tgz(r-4.3-any)
ONEST_0.1.0.tar.gz(r-4.5-noble)ONEST_0.1.0.tar.gz(r-4.4-noble)
ONEST_0.1.0.tgz(r-4.4-emscripten)ONEST_0.1.0.tgz(r-4.3-emscripten)
ONEST.pdf |ONEST.html✨
ONEST/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/hangangtrue/onest/issues

Datasets:

On CRAN:

4.18 score 3 stars 5 scripts 107 downloads 4 exports 0 dependencies

Last updated 3 years agofrom:8011f0c645. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:ONEST_inflation_testONEST_mainONEST_vignettesplotline

Dependencies:

ONEST

Gang Han, Baihong Guo

Rendered fromONEST.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2021-07-27
Started: 2020-08-17