Package: OptimalCutpoints
Type: Package
Title: Computing optimal cutpoints in diagnostic tests
Version: 1.0
Date: 2012-02-03
Author: Monica Lopez-Raton, Maria Xose Rodriguez-Alvarez
Maintainer: Monica Lopez Raton <monica.lopez.raton@usc.es>
Description: This package enables users to compute one or more optimal
cutpoints for diagnostic tests or continuous markers. Various
approaches for selecting optimal cutoffs have been implemented,
including methods based on cost-benefit analysis and diagnostic
test accuracy measures (Sensitivity/Specificity, Predictive
Values and Diagnostic Likelihood Ratios). Numerical and
graphical output for all methods is easily obtained.
License: GPL
LazyLoad: yes
Packaged: 2012-05-24 08:51:24 UTC; Admin
Repository: CRAN
Date/Publication: 2012-05-25 11:01:11

Description: This package enables users to compute one or more optimal cutpoints for diagnostic tests or continuous markers. Various approaches for selecting optimal cutoffs have been implemented, including methods based on cost-benefit analysis and diagnostic test accuracy measures (Sensitivity/Specificity, Predictive Values and Diagnostic Likelihood Ratios). Numerical and graphical output for all methods is easily obtained.

Maintainer: Monica Lopez Raton <monica.lopez.raton@gmail.com>

Title: Computing Optimal Cutpoints in Diagnostic Tests
Description: Computes optimal cutpoints for diagnostic tests or continuous markers. Various approaches for selecting optimal cutoffs have been implemented, including methods based on cost-benefit analysis and diagnostic test accuracy measures (Sensitivity/Specificity, Predictive Values and Diagnostic Likelihood Ratios). Numerical and graphical output for all methods is easily obtained.
Packaged: 2019-04-01 12:54:19 UTC; mrodriguez

Packaged: 2021-10-06 19:09:27 UTC; mrodriguez

Description: Algorithms for D-, A- and IV-optimal designs of experiments. Some of the functions in this package require the 'gurobi' software and its accompanying R package. For their installation, please follow the instructions at <www.gurobi.com> and <http://www.gurobi.com/documentation>, respectively.