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: |
1.0.2.5 |
Depends: |
R (≥ 3.5.0) |
Published: |
2021-10-15 |
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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=DTAplots
to link to this page.