metamisc: Meta-Analysis of Diagnosis and Prognosis Research Studies (original) (raw)
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 |
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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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