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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 |
| 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:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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