CRAN/E | DTAplots

DTAplots

Creates Plots Accompanying Bayesian Diagnostic Test Accuracy Meta-Analyses

Installation

About

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.

Key Metrics

Version 1.0.2.5
R ≥ 3.5.0
Published 2021-10-15 917 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks DTAplots results

Downloads

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Maintainer

Maintainer

Ian Schiller

ian.schiller@rimuhc.ca

Authors

Ian Schiller

aut / cre

Nandini Dendukuri

ctb

Material

NEWS
Reference manual
Package source

In Views

MetaAnalysis

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DTAplots archive

Depends

R ≥ 3.5.0