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CIfinder  

Estimate the Confidence Intervals for Predictive Values
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CIfinder", "2.0.0")



Attach the package and use:
library("CIfinder")
Maintained by
Dadong Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-15
Latest Update: 2024-04-12
Description:
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.
How to cite:
Dadong Zhang (2023). CIfinder: Estimate the Confidence Intervals for Predictive Values. R package version 2.0.0, https://cran.r-project.org/web/packages/CIfinder. Accessed 04 Oct. 2026.
Previous versions and publish date:
1.0.0 (2023-06-15 19:40), 1.0.1 (2023-08-16 16:34), 1.0.2 (2023-10-30 19:50), (2026-07-09 07:59)
Other packages that cited CIfinder R package
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Complete documentation for CIfinder
Functions, R codes and Examples using the CIfinder R package
Full CIfinder package functions and examples
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