jacob-long
commented
5 years ago It's not perfectly seamless, but jacob-long/panelr@77275a0 will at least make things workable.
library(panelr)
library(jtools)
data("WageData")
wages <- panel_data(WageData, id = id, wave = t)
model <- wbm(lwage ~ lag(union) + wks | blk + fem, data = wages)
export_summs(model)───────────────────────────────────────────────
Model 1
─────────────────────────
(Intercept) 6.60 ***
(0.23)
`imean(lag(union))` -0.03
(0.03)
`imean(wks)` 0.00
(0.00)
`lag(union)` 0.05 *
(0.03)
wks -0.00
(0.00)
blk -0.23 ***
(0.06)
fem -0.44 ***
(0.05)
─────────────────────────
nobs 3570
min_wave 2.00
max_wave 7.00
N 595.00
aic 1383.03
bic 1438.65
pR2_fe 0.13
pR2_total 0.74
model within-between
───────────────────────────────────────────────
*** p < 0.001; ** p < 0.01; * p < 0.05.
Column names: names, Model 1
I tried to create tables from models generated through the package panelR and it did not work.
Is there plans to integrate this package with the panelR in order to generate regression tables?
Thank you in advance