Package: SenSpe 1.3

Yijian Huang

SenSpe: Estimating Specificity at Controlled Sensitivity, or Vice Versa

Perform biomarker evaluation and comparison in terms of specificity at a controlled sensitivity level, or sensitivity at a controlled specificity level. Point estimation and exact bootstrap of Huang, Parakati, Patil, and Sanda (2023) <doi:10.5705/ss.202021.0020> for the one- and two-biomarker problems are implemented.

Authors:Yijian Huang <[email protected]>

SenSpe_1.3.tar.gz
SenSpe_1.3.tar.gz(r-4.5-noble)SenSpe_1.3.tar.gz(r-4.4-noble)
SenSpe_1.3.tgz(r-4.4-emscripten)SenSpe_1.3.tgz(r-4.3-emscripten)
SenSpe.pdf |SenSpe.html✨
SenSpe/json (API)

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

Peer review:

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

3 exports 0.00 score 0 dependencies 213 downloads

Last updated 8 months agofrom:06351e9e60. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-linux-x86_64OKSep 06 2024

Exports:snsp1msnsp2mpsnsp2mup

Dependencies:

Estimating Specificity at Controlled Sensitivity, or Vice Versa

Yijian Huang ([email protected])

Rendered fromSenSpe.Rmdusingknitr::rmarkdownon Sep 06 2024.

Last update: 2024-01-10
Started: 2023-06-21