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-4.5-any)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:

Conda:

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 137 downloads 1 exports 0 dependencies

Last updated 6 years agofrom:ad7bee579d. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-winOKApr 02 2025
R-4.5-macOKApr 02 2025
R-4.5-linuxOKApr 02 2025
R-4.4-winOKApr 02 2025
R-4.4-macOKApr 02 2025
R-4.4-linuxOKApr 02 2025
R-4.3-winOKApr 02 2025
R-4.3-macOKApr 02 2025

Exports:DTAXG2

Dependencies: