Package index • ididvar

Computation

idid_partial_out(): Partial out controls

idid_weights(): Compute Identifying Variation Weights

idid_contrib_threshold(): Find a weight threshold below which observations "do not contribute"

idid_contrib_stats(): Compute quick descriptive statistics on the effective sample

idid_drop_change(): Variation in estimate when dropping low weight observations

idid_grouping_var(): Compute the between-group variances in weights

Visualization

idid_viz_weights(): Visualization of Identifying Variation Weights

idid_viz_weights_map(): Plot a map of identifying variation weights

idid_viz_cumul(): Visualization of the cumulative distribution of weights

idid_viz_contrib(): Visualization of observations contributing (or not) to estimation

idid_viz_contrib_map(): Plot a map of the effective sample

idid_viz_drop_change(): Visualize changes in point estimate and s.e. when dropping observations

idid_viz_bivar(): Visualization of the relationship between x and y, after partialling out

Graph theming

theme_idid(): Create a custom theme for ididvar visualizations

scale_fill_idid() scale_color_idid(): Create a custom color scale for ididvar visualizations

idid_colors_table: A table with the main colors used in base plots in this package