R Under development (unstable) (2024-05-26 r86629 ucrt) -- "Unsuffered Consequences"
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> library(DIDmultiplegt)
> library(wooldridge)
> 
> df <- wagepan
> Y = "lwage"
> G = "nr"
> T = "year"
> D = "union"
> controls = c("hours")
> placebo = 2
> dynamic = 2
> 
> result = did_multiplegt(df, Y, G, T, D, controls, placebo = placebo, dynamic = dynamic,
+                         brep = 2, cluster = "nr", covariance = TRUE, average_effect = "prop_number_switchers")
To estimate event-study/dynamic effects, we strongly recommend using the much faster did_multiplegt_dyn command, available from the CRAN repository. In addition to that, did_multiplegt_dyn offers more options than did_multiplegt.
Warning message:
There was 1 warning in `summarize()`.
ℹ In argument: `Tgroup = group_indices()`.
ℹ In group 1: `T = 1980`.
Caused by warning:
! `group_indices()` was deprecated in dplyr 1.0.0.
ℹ Please use `cur_group_id()` instead.
ℹ The deprecated feature was likely used in the DIDmultiplegt package.
  Please report the issue to the authors. 
> 
> assertthat::are_equal(result$placebo_2, -0.9930194)
[1] FALSE
> assertthat::are_equal(result$N_placebo_2, 2158)
[1] FALSE
> assertthat::are_equal(result$placebo_1, 0.08446127)
[1] FALSE
> assertthat::are_equal(result$N_placebo_1,2842)
[1] FALSE
> assertthat::are_equal(result$effect, 0.02147226)
[1] FALSE
> assertthat::are_equal(result$N_effect, 3815)
[1] FALSE
> assertthat::are_equal(result$N_switchers_effect, 508)
[1] FALSE
> 
> 
> cluster = NULL
> recat_treatment = NULL
> trends_nonparam = NULL
> trends_lin = "nr"
> result = did_multiplegt(df, Y, G, T, D, controls, placebo = placebo, dynamic = dynamic,
+                         trends_lin = trends_lin, trends_nonparam = trends_nonparam)
> 
> 
> cluster = NULL
> recat_treatment = NULL
> trends_nonparam = "black"
> trends_lin = NULL
> result = did_multiplegt(df, Y, G, T, D, controls, placebo = placebo, dynamic = dynamic,
+                         trends_lin = trends_lin, trends_nonparam = trends_nonparam)
> 
> proc.time()
   user  system elapsed 
  34.62    0.51   35.12