Tidy methods for wbgee models — tidy.asym

panelr provides methods to access wbgee data in a tidy format

Usage

# S3 method for asym_gee
tidy(x, conf.int = FALSE, conf.level = 0.95, ...)

# S3 method for wbgee
tidy(x, conf.int = FALSE, conf.level = 0.95, ...)

# S3 method for wbgee
glance(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

if (requireNamespace("geepack")) {
  data("WageData")
  wages <- panel_data(WageData, id = id, wave = t)
  model <- wbgee(lwage ~ lag(union) + wks, data = wages)
  if (requireNamespace("generics")) {
    generics::tidy(model)
  }
}
#> # A tibble: 5 × 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)