get_pairdist_balance_graph: Total variation imbalance vs. marginal imbalance

In MultiObjMatch: Multi-Objective Matching Algorithm

Total variation imbalance vs. marginal imbalance

Description

Plotting function that generate sum of pairwise distance vs. total variation imbalance on specified balance variable. This function only works for 'Basic' version of matching (conducted using dist_bal_match).

Usage

get_pairdist_balance_graph(matching_result)

Arguments

matching_result

an object returned by the main matching function dist_bal_match

Value

No return value, called for visualization of match result

See Also

Other Graphical helper functions for analysis: get_pairdist_graph(), get_tv_graph()

Examples

## Generate matches 
data("lalonde", package="cobalt")
ps_cols <- c("age", "educ", "married", "nodegree", "race")
treat_val <- "treat"
response_val <- "re78"  
pair_dist_val <- c("age", "married", "educ", "nodegree", "race")
my_bal_val <- c("race")
r1s <- c(0.01,1,2,4,4.4,5.2,5.4,5.6,5.8,6)
r2s <- c(0.001)
match_result <- dist_bal_match(data=lalonde, treat_col= treat_val, 
marg_bal_col = my_bal_val, exclusion_penalty=r1s, balance_penalty=r2s, 
dist_col = pair_dist_val, 
propensity_col = ps_cols, max_iter=0)
## Visualize the tradeoff between the pair-wise distance sum and 
## total variation distance 
get_pairdist_balance_graph(match_result)

MultiObjMatch documentation built on Sept. 11, 2024, 6:45 p.m.