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SenSpe  

Estimating Specificity at Controlled Sensitivity, or Vice Versa
View on CRAN: Click here


Download and install SenSpe package within the R console
Install from CRAN:
install.packages("SenSpe")

Install from Github:
library("remotes")
install_github("cran/SenSpe")

Install by package version:
library("remotes")
install_version("SenSpe", "1.3")



Attach the package and use:
library("SenSpe")
Maintained by
Yijian Huang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-30
Latest Update: 2024-01-09
Description:
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) for the one- and two-biomarker problems are implemented.
How to cite:
Yijian Huang (2023). SenSpe: Estimating Specificity at Controlled Sensitivity, or Vice Versa. R package version 1.3, https://cran.r-project.org/web/packages/SenSpe. Accessed 14 Mar. 2026.
Previous versions and publish date:
1.1 (2023-03-30 09:30), 1.2 (2023-06-21 21:10)
Other packages that cited SenSpe R package
View SenSpe citation profile
Other R packages that SenSpe depends, imports, suggests or enhances
Complete documentation for SenSpe
Functions, R codes and Examples using the SenSpe R package
Full SenSpe package functions and examples
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