metamisc: Meta-Analysis of Diagnosis and Prognosis Research Studies

Facilitate frequentist and Bayesian meta-analysis of diagnosis and prognosis research studies. It includes functions to summarize multiple estimates of prediction model discrimination and calibration performance (Debray et al., 2019) <doi:10.1177/0962280218785504>. It also includes functions to evaluate funnel plot asymmetry (Debray et al., 2018) <doi:10.1002/jrsm.1266>. Finally, the package provides functions for developing multivariable prediction models from datasets with clustering (de Jong et al., 2021) <doi:10.1002/sim.8981>.

Version:	0.2.5
Depends:	R (≥ 3.5.0), stats, graphics
Imports:	metafor (≥ 2.0.0), mvtnorm, lme4, dplyr, plyr, methods, pROC, ggplot2
Suggests:	coda, runjags, rjags, ggmcmc, logistf (≥ 1.23), testthat (≥ 1.0.2)
Published:	2021-09-20
Author:	Thomas Debray [aut, cre], Valentijn de Jong [aut]
Maintainer:	Thomas Debray <thomas.debray at gmail.com>
License:	GPL-3
URL:	https://r-forge.r-project.org/projects/metamisc/
NeedsCompilation:	no
In views:	MetaAnalysis
CRAN checks:	metamisc results

Documentation:

Reference manual:

metamisc.pdf

Downloads:

Package source:	metamisc_0.2.5.tar.gz
Windows binaries:	r-devel: metamisc_0.2.5.zip, r-release: metamisc_0.2.5.zip, r-oldrel: metamisc_0.2.5.zip
macOS binaries:	r-release (arm64): metamisc_0.2.5.tgz, r-oldrel (arm64): metamisc_0.2.5.tgz, r-release (x86_64): metamisc_0.2.5.tgz, r-oldrel (x86_64): metamisc_0.2.5.tgz
Old sources:	metamisc archive

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