Computing Variances and Covariances, Visualization and Missing
Data Solution for Multivariate Meta-Analysis
Collection of functions to compute covariances for different effect sizes, data visualization, and single and multiple imputation 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).

Collection of functions to compute 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).

c(
person("Michael", "Kossmeier", email = "michael.kossmeier@univie.ac.at", role = c("cre", "aut")),
person("Ulrich S.", "Tran", email = "ulrich.tran@univie.ac.at", role = c("aut")),
person("Martin", "Voracek", email = "martin.voracek@univie.ac.at", role = c("aut"))
)
Creates rainforest plots (proposed by Schild & Voracek, 2015 <doi:10.1002/jrsm.1125>), a variant and
enhancement of the classic forest plot for meta-analysis. In the near future, the 'metaviz'
package will be extended by further, established as well as novel, plotting options for
visualizing meta-analytic data.
metafor (>= 1.9-9), Cairo (>= 1.5-9), knitr, rmarkdown
Michael Kossmeier [cre, aut],
Ulrich S. Tran [aut],
Martin Voracek [aut]

Rainforest Plots and Visual Funnel Plot Inference for
Meta-Analysis
Creates rainforest plots (proposed by Schild & Voracek, 2015
<doi:10.1002/jrsm.1125>), a variant and enhancement of the classic forest plot
for meta-analysis. In addition, functionalities for visual funnel plot inference are provided.
In the near future, the 'metaviz' package will be extended by further,
established as well as novel, plotting options for visualizing meta-analytic data.

Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for
Meta-Analysis
A compilation of functions to plot meta-analytic data using 'ggplot2'. Currently allows to
create forest plots, funnel plots, and many of their variants, such as rainforest plots and
additional evidence contour enhanced funnel plots. In addition, functionalities for visual funnel
plot inference are provided. In the near future, the 'metaviz' package will be extended by further,
established as well as novel, plotting options for visualizing meta-analytic data.