Package: DTAplots 1.0.2.5

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>.

Authors:Ian Schiller [aut, cre], Nandini Dendukuri [ctb]

DTAplots_1.0.2.5.tar.gz
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DTAplots.pdf |DTAplots.html
DTAplots/json (API)
NEWS

# Install 'DTAplots' in R:
install.packages('DTAplots', repos = c('https://ianschiller.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 223 downloads 2 exports 0 dependencies

Last updated 3 years agofrom:f64b1442ab. Checks:4 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winOKMar 31 2025
R-4.5-macOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-winNOTEMar 31 2025
R-4.4-macNOTEMar 31 2025
R-4.4-linuxNOTEMar 31 2025
R-4.3-winNOTEMar 31 2025
R-4.3-macNOTEMar 31 2025

Exports:ForestSROC_rjags

Dependencies: