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DTAplots  

Creates Plots Accompanying Bayesian Diagnostic Test Accuracy Meta-Analyses
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DTAplots", "1.0.2.5")



Attach the package and use:
library("DTAplots")
Maintained by
Ian Schiller
[Scholar Profile | Author Map]
First Published: 2021-03-17
Latest Update: 2021-10-15
Description:
Function to create forest plots. Functions to use posterior samples from Bayesian bivariate meta-analysis model, Bayesian hierarchical summary receiver operating characteristic (HSROC) meta-analysis model or Bayesian latent class (LC) meta-analysis model to create Summary Receiver Operating Characteristic (SROC) plots using methods described by Harbord et al (2007).
How to cite:
Ian Schiller (2021). DTAplots: Creates Plots Accompanying Bayesian Diagnostic Test Accuracy Meta-Analyses. R package version 1.0.2.5, https://cran.r-project.org/web/packages/DTAplots. Accessed 06 May. 2025.
Previous versions and publish date:
1.0.2.4 (2021-03-17 15:10)
Other packages that cited DTAplots R package
View DTAplots citation profile
Other R packages that DTAplots depends, imports, suggests or enhances
Complete documentation for DTAplots
Functions, R codes and Examples using the DTAplots R package
Some associated functions: Anti_CCP . Forest . SROC_rjags . Xpert . posterior_samples_Bivariate . posterior_samples_HSROC . posterior_samples_LC . 
Some associated R codes: Forest.R . SROC_rjags.R .  Full DTAplots package functions and examples
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