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'))

Peer review:

On CRAN:

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

1 exports 0.00 score 0 dependencies 2 scripts 132 downloads

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

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winOKSep 02 2024
R-4.5-linuxOKSep 02 2024
R-4.4-winOKSep 02 2024
R-4.4-macOKSep 02 2024
R-4.3-winOKSep 02 2024
R-4.3-macOKSep 02 2024

Exports:DTAXG2

Dependencies: