Is your feature request related to a problem? Please describe.
I run a regression with multiple fixed effects using as_factor(fe.Var) but one of them is dropped (I excluded the intercept).
I thought the plot_coefs method would work if I defined a broom::tidy object (removing NA) but it didn't.
Describe the solution you'd like
An option that allows NA rows. I get error that the existing and assigned data don't match. An option in the plot_summs method would be nice.
Describe any alternatives or other implementations that you might know of
I could parse out the fixed effects and re-run the model. But I wish to avoid the extra step.
Is your feature request related to a problem? Please describe.
I run a regression with multiple fixed effects using
as_factor(fe.Var)
but one of them is dropped (I excluded the intercept). I thought theplot_coefs
method would work if I defined abroom::tidy
object (removing NA) but it didn't.Describe the solution you'd like
An option that allows NA rows. I get error that the existing and assigned data don't match. An option in the plot_summs method would be nice.
Describe any alternatives or other implementations that you might know of
I could parse out the fixed effects and re-run the model. But I wish to avoid the extra step.
Thanks.