DTAplots: Creates Plots Accompanying Bayesian Diagnostic Test Accuracy Meta-Analyses

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)<doi:10.1093/biostatistics/kxl004>.

Version: 1.0.2.4
Depends: R (≥ 3.5.0)
Published: 2021-03-17
Author: Ian Schiller [aut, cre], Nandini Dendukuri [ctb]
Maintainer: Ian Schiller <ian.schiller at rimuhc.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: MetaAnalysis
CRAN checks: DTAplots results

Downloads:

Reference manual: DTAplots.pdf
Package source: DTAplots_1.0.2.4.tar.gz
Windows binaries: r-devel: DTAplots_1.0.2.4.zip, r-release: DTAplots_1.0.2.4.zip, r-oldrel: DTAplots_1.0.2.4.zip
macOS binaries: r-release (arm64): DTAplots_1.0.2.4.tgz, r-release (x86_64): DTAplots_1.0.2.4.tgz, r-oldrel: DTAplots_1.0.2.4.tgz

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