Facilitate meta-analysis of diagnosis and prognosis research studies. It includes functions to summarize multiple estimates of prediction model discrimination and calibration performance, as described by Debray et al. (2019) <doi:10.1177/0962280218785504>. It also includes functions to evaluate funnel plot asymmetry, as described by Debray et al. (2018) <doi:10.1002/jrsm.1266>. Finally, the package provides functions for developing multivariable prediction models from datasets with clustering.
Version: | 0.2.3 |
Depends: | R (≥ 3.5.0), stats, graphics |
Imports: | metafor (≥ 2.0.0), mvtnorm, lme4, plyr, methods, pROC, ggplot2 |
Suggests: | runjags, rjags, logistf (≥ 1.23), testthat (≥ 1.0.2) |
Published: | 2020-09-24 |
Author: | Thomas Debray |
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 |
Reference manual: | metamisc.pdf |
Package source: | metamisc_0.2.3.tar.gz |
Windows binaries: | r-devel: metamisc_0.2.3.zip, r-release: metamisc_0.2.3.zip, r-oldrel: metamisc_0.2.3.zip |
macOS binaries: | r-release: metamisc_0.2.3.tgz, r-oldrel: metamisc_0.2.3.tgz |
Old sources: | metamisc archive |
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