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BayesianReasoning  

Plot Positive and Negative Predictive Values for Medical Tests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesianReasoning", "0.4.2")



Attach the package and use:
library("BayesianReasoning")
Maintained by
Gorka Navarrete
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-30
Latest Update: 2022-01-07
Description:
Functions to plot and help understand positive and negative predictive values (PPV and NPV), and their relationship with sensitivity, specificity, and prevalence. See Akobeng, A.K. (2007) for a theoretical overview of the technical concepts and Navarrete et al. (2015) for a practical explanation about the importance of their understanding .
How to cite:
Gorka Navarrete (2020). BayesianReasoning: Plot Positive and Negative Predictive Values for Medical Tests. R package version 0.4.2, https://cran.r-project.org/web/packages/BayesianReasoning
Previous versions and publish date:
0.3.1 (2020-06-30 12:20), 0.3.2 (2020-07-03 18:40), 0.3.3 (2021-06-21 13:20), 0.4.0 (2021-12-21 18:02), 0.4.1 (2022-01-07 14:53)
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