metavcov: Computing Variances and Covariances, Visualization and Missing Data Solution for Multivariate Meta-Analysis (original) (raw)
Collection of functions to compute within-study covariances for different effect sizes, data visualization, and single and multiple imputations for missing data. Effect sizes include correlation (r), mean difference (MD), standardized mean difference (SMD), log odds ratio (logOR), log risk ratio (logRR), and risk difference (RD).
| Version: | 2.1.5 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2 |
| Suggests: | mixmeta, metaSEM, mvmeta, mice |
| Published: | 2023-06-24 |
| DOI: | 10.32614/CRAN.package.metavcov |
| Author: | Min Lu |
| Maintainer: | Min Lu <m.lu6 at umiami.edu> |
| BugReports: | https://github.com/luminwin/metavcov/issues/new |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/luminwin/metavcov |
| NeedsCompilation: | no |
| Citation: | metavcov citation info |
| Materials: | |
| In views: | MetaAnalysis, MissingData |
| CRAN checks: | metavcov results |
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