bdpv (version 1.4)

Inference and Design for Predictive Values in Diagnostic Tests

Description

Computation of asymptotic confidence intervals for negative and positive predictive values in binary diagnostic tests in case-control studies. Experimental design for hypothesis tests on predictive values.

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Version

Install

install.packages('bdpv')

Monthly Downloads

368

Version

1.4

License

GPL (>= 2)

Maintainer

Frank Schaarschmidt

Last Published

May 14th, 2025

Functions in bdpv (1.4)

simPVmat

Simulate performance of confidence intervals for predictive values in case-control design

simPV

Simulate performance of confidence intervals for predictive values in a case-control design

print.nPV

Detailed print out for nPV

nPV

Asymptotic sample size calculation for inference on negative and positive predictive values in case-control designs.

bdpv-package

Confidence intervals and experimental design for negative and positive predictive values in binary diagnostic tests.

plotnPV

Plot experimental design for different setting in a single figure.

CInpvppv

Asymptotic confidence intervals for negative and positive predictive values.

nNPVPPV

Asymptotic experimental design for inference on negative and positive predictive values in case-control studies.

plotnPV2

Plot experimental design for different settings in a set of sub figure.

as.data.frame.nPV

Coerce results of "nPV" to a data.frame.

print.BDtest

Detailed print out for BDtest

BDtest

Computing confidence intervals for sensitivity, specificity and predictive values assuming a case-control study.

CIpvBayes

Confidence intervals for negative and positive predictive values in a case-control setting by simulation from the posterior distribution.