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bdpv  

Inference and Design for Predictive Values in Diagnostic Tests
View on CRAN: Click here


Download and install bdpv package within the R console
Install from CRAN:
install.packages("bdpv")

Install from Github:
library("remotes")
install_github("cran/bdpv")

Install by package version:
library("remotes")
install_version("bdpv", "1.3")



Attach the package and use:
library("bdpv")
Maintained by
Frank Schaarschmidt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-29
Latest Update: 2019-03-11
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.
How to cite:
Frank Schaarschmidt (2012). bdpv: Inference and Design for Predictive Values in Diagnostic Tests. R package version 1.3, https://cran.r-project.org/web/packages/bdpv
Previous versions and publish date:
1.0 (2012-10-29 08:58), 1.1 (2014-03-06 15:35)
Other packages that cited bdpv R package
View bdpv citation profile
Other R packages that bdpv depends, imports, suggests or enhances
Functions, R codes and Examples using the bdpv R package
Some associated functions: BDtest . CInpvppv . CIpvBayes . as.data.frame.nPV . bdpv-package . nNPVPPV . nPV . plotnPV . plotnPV2 . print.BDtest . print.nPV . simPV . simPVmat . 
Some associated R codes: AOppvnpv.R . BDtest.R . CIlnpv.R . CIlnpvak.R . CIlppv.R . CIlppvak.R . CIpvBayes.R . CombCInpv.R . CombCIppv.R . as.data.frame.nPV.R . bdpv-internal.R . checknPV.R . nNPV.R . nPPV.R . npv_1.R . npvppvint.R . plotnPV.R . plotnPV2.R . print.BDtest.R . print.nPV.R . simPV.R . simPVmat.R .  Full bdpv package functions and examples
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