panelr provides methods to access wbgee data in a tidy format

tidy.asym_gee(x, conf.int = FALSE, conf.level = 0.95, ...)

tidy.wbgee(x, conf.int = FALSE, conf.level = 0.95, ...)

glance.wbgee(x, ...)

Arguments

x

A wbgee object.

conf.int

Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to FALSE.

conf.level

The confidence level to use for the confidence interval if conf.int = TRUE. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.

...

Ignored

Examples

data("WageData") wages <- panel_data(WageData, id = id, wave = t) model <- wbgee(lwage ~ lag(union) + wks, data = wages) if (requireNamespace("broom")) { broom::tidy(model) }
#> # A tibble: 5 x 6 #> group estimate std.error statistic p.value term #> <chr> <dbl> <dbl> <dbl> <dbl> <chr> #> 1 within 0.0145 0.0194 0.745 0.456 lag(union) #> 2 within -0.00119 0.00150 -0.790 0.430 wks #> 3 between 6.16 0.277 22.2 0 (Intercept) #> 4 between 0.0309 0.0335 0.923 0.356 imean(lag(union)) #> 5 between 0.0116 0.00576 2.01 0.0448 imean(wks)