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ThresholdROC (version 2.9.4)

Optimum Threshold Estimation

Description

Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) and in Skaltsa et al (2010, 2012) , .

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Version

Install

install.packages('ThresholdROC')

Monthly Downloads

346

Version

2.9.4

License

GPL (>= 2)

Maintainer

Sara Perez-Jaume

Last Published

April 12th, 2024

Functions in ThresholdROC (2.9.4)

SS

Sample size estimation (two-state setting)
chemo

Response to chemotherapy data set
ThresholdROC

Optimum threshold estimation based on cost function in a two- and three- state settings
AD

Alzheimer's disease data
diagnostic

Diagnostic accuracy measures of binary diagnostic tests
lines.thres3

Add threshold lines to a plot (three-state setting)
plotCostROC

Plot cost function and ROC curve
plot.thres2

Threshold and density plot (two-state setting)
thresTH2

Population-based threshold calculation (two-state setting)
thresTH3

Population-based threshold calculation (three-state setting)
secondDer3

Second partial derivative of the cost function (three-state setting)
thres3

Threshold point estimation and confidence intervals (three-state setting)
lines.thres2

Add threshold lines to a plot (two-state setting)
secondDer2

Second partial derivative of the cost function (two-state setting)
thres2

Threshold point estimation and confidence intervals (two-state setting)
plot.thres3

Thresholds and density plot (three-state setting)