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: 0.4.0 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: 2022-09-25 DOI: 10.32614/CRAN.package.metamisc Author: Thomas Debray [aut, cre], Valentijn de Jong [aut] Maintainer: Thomas Debray <thomas.debray at gmail.com> License: GPL-3 URL: https://github.com/smartdata-analysis-and-statistics/metamisc NeedsCompilation: no Materials: README, NEWS In views: MetaAnalysis CRAN checks: metamisc results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=metamisc to link to this page.
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