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: | 0.4.0 |
| 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 |
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