bdpv (version 1.3)

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

249

Version

1.3

License

GPL (>= 2)

Maintainer

Frank Schaarschmidt

Last Published

March 11th, 2019

Functions in bdpv (1.3)

CIpvBayes

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

as.data.frame.nPV

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

bdpv-package

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

print.nPV

Detailed print out for nPV

BDtest

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

nNPVPPV

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

simPV

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

simPVmat

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

plotnPV2

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

plotnPV

Plot experimental design for different setting in a single figure.

print.BDtest

Detailed print out for BDtest

CInpvppv

Asymptotic confidence intervals for negative and positive predictive values.

nPV

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