get_robust_se {jtools} | R Documentation |
Calculate robust standard errors and produce coefficient tables
Description
This function wraps around several sandwich and lmtest functions to calculate robust standard errors and returns them in a useful format.
Usage
get_robust_se(
model,
type = "HC3",
cluster = NULL,
data = model.frame(model),
vcov = NULL
)
Arguments
model |
A regression model, preferably of class |
type |
One of |
cluster |
If you want clustered standard errors, either a string naming
the column in |
data |
The data used to fit the model. Default is to just get the
|
vcov |
You may provide the variance-covariance matrix yourself and this function will just calculate standard errors, etc. based on that. Default is NULL. |
Value
A list with the following:
-
coefs
: a coefficient table with the estimates, standard errors, t-statistics, and p-values fromlmtest
. -
ses
: The standard errors fromcoefs
. -
ts
: The t-statistics fromcoefs
. -
ps
: The p-values fromcoefs
. -
type
: The argument torobust
. -
use_cluster
:TRUE
orFALSE
indicator of whether clusters were used. -
cluster
: The clusters or name of cluster variable used, if any. -
vcov
: The robust variance-covariance matrix.