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Estimate the Confidence Intervals for Predictive Values

Installation

About

Computes confidence intervals for the positive predictive value (PPV) and negative predictive value (NPV) based on varied scenarios. In situations where the proportion of diseased subjects does not correspond to the disease prevalence (e.g. case-control studies), this package provides two types of solutions: 1) five methods for estimating confidence intervals for PPV and NPV via ratio of two binomial proportions including Gart & Nam (1988), Walter (1975), MOVER-J (Laud, 2017), Fieller (1954), and Bootstrap (Efron, 1979); 2) three direct methods that compute the confidence intervals including Pepe (2003), Zhou (2007), and Delta. In prospective studies where the proportion of diseased subjects is an unbiased estimate of the disease prevalence, this package provides several methods for calculating the confidence intervals for PPV and NPV including Clopper-Pearson, Wald, Wilson, Agresti-Coull, and Beta. See the Details and References sections in the corresponding functions.

Key Metrics

Version 2.0.0
R ≥ 3.6.0
Published 2024-04-12 7 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks CIfinder results

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Maintainer

Maintainer

Dadong Zhang

dzhang4@illumina.com

Authors

Dadong Zhang
Jingye Wang
Suqin Cai
Johan Surtihadi

Material

README
Reference manual
Package source

Vignettes

Eestimating confidence interval for predictive values

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CIfinder archive

Depends

R ≥ 3.6.0

Imports

ratesci
stats
boot
Rdpack
kableExtra

Suggests

knitr
rmarkdown
testthat ≥ 3.0.0