R: Visualize 'Confounder' Control in Meta-Analyses

# Visualize 'Confounder' Control in Meta-Analyses

## Documentation for package ‘metaconfoundr’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

count_non_confounders | Count and plot non-confounders
facet_constructs | Facet by constructs
geom_cochrane | Add Cochrane-style symbols to heatmaps and traffic light plots
ipi | IPI data
ipi_data | IPI data
ipi_metaanalysis | IPI data
ipi_wide | IPI data
label_robins | Label values using ROBINS approach
launch_metaconfoundr_app | Launch metaconfoundr Shiny app
mc_detect_layout | Tidy metaconfoundr data layouts
mc_heatmap | Plot a heatmap or traffic light plot of 'metaconfoundr()' summaries
mc_longer | Tidy metaconfoundr data layouts
mc_study_values | Tidy metaconfoundr data layouts
mc_trafficlight | Plot a heatmap or traffic light plot of 'metaconfoundr()' summaries
mc_wider | Tidy metaconfoundr data layouts
metaconfoundr | Prepare a meta-analysis data set for metaconfoundr
metaconfoundr() | Prepare a meta-analysis data set for metaconfoundr
plot_non_confounders | Count and plot non-confounders
scale_color_cochrane | Add Cochrane-style palettes to ggplots
scale_fill_cochrane | Add Cochrane-style palettes to ggplots
scale_shape_cochrane | Add Cochrane-style palettes to ggplots
score_control | Add a score of confounding control
summarize_control_quality | Summarize the control quality of studies
theme_mc | A minimal theme for metaconfoundr plots