Package: DTAXG 0.1.0

DTAXG: Diagnostic Test Assessment in the Absence of Gold Standard

To calculate the sensitivity and specificity in the absence of gold standard using the Bayesian method. The Bayesian method can be referenced at Haiyan Gu and Qiguang Chen (1999) <doi:10.3969/j.issn.1002-3674.1999.04.004>.

Authors:Zhicheng Du, Yuantao Hao

DTAXG_0.1.0.tar.gz
DTAXG_0.1.0.zip(r-4.5)DTAXG_0.1.0.zip(r-4.4)DTAXG_0.1.0.zip(r-4.3)
DTAXG_0.1.0.tgz(r-4.4-any)DTAXG_0.1.0.tgz(r-4.3-any)
DTAXG_0.1.0.tar.gz(r-4.5-noble)DTAXG_0.1.0.tar.gz(r-4.4-noble)
DTAXG_0.1.0.tgz(r-4.4-emscripten)DTAXG_0.1.0.tgz(r-4.3-emscripten)
DTAXG.pdf |DTAXG.html✨
DTAXG/json (API)

# Install 'DTAXG' in R:

install.packages('DTAXG', repos = c('https://marsdu1989.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 115 downloads 1 exports 0 dependencies

Last updated 6 years agofrom:ad7bee579d. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-win	OK	Oct 31 2024
R-4.5-linux	OK	Oct 31 2024
R-4.4-win	OK	Oct 31 2024
R-4.4-mac	OK	Oct 31 2024
R-4.3-win	OK	Oct 31 2024
R-4.3-mac	OK	Oct 31 2024