Function reference • causalverse

All functions
`ama_export_fig()`	Function to export a figure with custom settings
`ama_export_tab()`	Function to export a table with AMA style
`ama_labs()`	Custom Label Formatting for ggplot2: American Marketing Association Style
`ama_scale_color()`	Custom Color Scale for ggplot2: American Marketing Association Style
`ama_scale_fill()`	Custom Fill Scale for ggplot2: American Marketing Association Style
`ama_theme()`	Custom Theme for ggplot2: American Marketing Association Style
`balance_assessment()`	Assess balance between treated and control groups
`balance_scatter_custom()`	Custom function to visualize the balance between treatment and control groups
`get_balanced_panel()`	Extract a Balanced Panel
`lee_bounds()`	Summarize Lee Bounds for Always-Takers
`med_ind()`	Estimate Mediation Indirect Effects
`nice_tab()`	Nice Tabulation Function
`panel_estimate()`	Panel Estimate Function
`plot_coef_par_trends()`	Plot Coefficients of Parallel Trends
`plot_covariate_balance_pretrend()`	Plot Covariate Balance Over Pre-Treatment Period
`plot_density_by_treatment()`	Plot Density by Treatment
`plot_PanelEstimate()`	Plot Estimated Effects of Treatment Over Time
`plot_par_trends()`	Plot Parallel Trends
`plot_rd_aa_share()`	Plot RD Always-assigned Share
`plot_treat_time()`	Plot number of treated units over time or return a dataframe.
`plot_trends_across_group()`	Custom Faceted Line Plot with Optional Standard Error
`process_panel_estimate()`	Process Panel Estimate
`stack_data()`	Stacked Data for Staggered DiD Analysis
`synthdid_est()`	Synthetic DID Estimation Using synthdid Package
`synthdid_est_ate()`	Estimate the SynthDiD ATEs and Standard Errors
`synthdid_est_per()`	Estimate Treatment Effects for Each Period
`synthdid_plot_ate()`	Create ATE Plot Using ggplot2
`synthdid_se_jacknife()`	Calculate Jackknife Standard Errors for Synthetic DID
`synthdid_se_placebo()`	Calculate Placebo Standard Errors for Synthetic DID

Reference

All functions