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UncertainInterval

R package for three-way threshold determination of medical tests date: 14 feb 2021 version 0.7.0.0

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install.packages('UncertainInterval')

Monthly Downloads

21

Version

0.7.0

License

GPL (>= 2)

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Repository

https://github.com/HansLandsheer/UncertainInterval

Maintainer

Hans Landsheer

Last Published

March 2nd, 2021

Functions in UncertainInterval (0.7.0)

get.intersection

get.intersection Obtain the intersection of two distributions using the kernel method

Fagan's nomogram to show the relationships between the prior probability, the likelihood ratios, sensitivity and specificity, and the posterior probability.

Function for the determination of the population thresholds an uncertain and inconclusive interval for bi-normal distributed test scores.

Barplot of frequencies, densities or both of the two distributions of patients with and without the targeted condition.

Function to check the dataset of individuals with (1) and without (0) the targeted condition.

UncertainInterval

Set of functions for the determination of an Uncertain Interval of test scores

Function for the determination of a grey zone for ordinal diagnostic and screening tests

Function for the determination of an inconclusive interval for ordinal test scores using predictive values

nlopt.ui.general

Function for the determination of the population thresholds an uncertain and inconclusive interval for test scores with a known common distribution.

Two-Graphs Receiving Operating Characteristics.

Function to plot the mixed densities of distributions of individuals with (1) and without (0) the targeted condition.

CARET PSA Biomarker data - Etzioni substudy (454 control patients; 229 patients with prostate cancer)

Run example of the UI (UncertainInterval method), simulating a large variety of tests with varying qualities.

runExample.TGROC

Run example of the TG-ROC method, simulating a large variety of tests with varying qualities.

Function to explore possible uncertain intervals of ordinal test results of individuals with (1) and without (0) the targeted condition.

Run example of the ROC method, simulating a large variety of tests with varying qualities.

Function for the determination of an inconclusive interval for continuous test scores

runExample.GreyZone

Run example of the Grey Zone method, simulating a large variety of tests with varying qualities.

Function for the determination of the thresholds of an uncertain interval for bi-normal distributed test scores that are considered as inconclusive.

quality.threshold

Function for describing the qualities of one or two decision thresholds

quality.threshold.uncertain

Function for the description of the qualities of the Uncertain Interval.

Primitive non-parametric function for calculating AUC or C-statistic for two comparable samples with ordinal data.

Primitive non-parametric function for calculating false and true positive rate for two comparable samples with ordinal data.

Hepatic metastasis ultrasound study - Tosteson & Begg study (96 patients)