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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2.5 |
rolling source/ R- | DTAplots_1.0.2.5.tar.gz |
2.8 MiB |
1.0.2.5 |
latest source/ R- | DTAplots_1.0.2.5.tar.gz |
2.8 MiB |
1.0.2.5 |
2026-04-09 windows/windows R-4.5 | DTAplots_1.0.2.5.zip |
2.8 MiB |