lmw
News and Updateslmw
0.0.2Changed the var
argument in
plot(., type = "extrapolation")
to variables
(var
still works as an abbreviation).
Added a unit testing framework.
Weights now have an average of 1 in each treatment group. This only affects the display of the weights, making it easier to assess extreme weights, but does not affect balance or any other property of the weights.
When using cluster-robust standard errors in
lmw_est()
, the degrees of freedom for the corresponding
t-testing as now computed as one less than the number of clusters to be
consistent with other software.
"IPWRA"
is now an acceptable alias for
"WLS"
when supplied to the dr.method
of
lmw()
with base weights. IPWRA is the name Stata gives to
the same estimator.
When a weightit
or matchit
object is
supplied to obj
in lmw()
or
lmw_iv()
, the focal
component of the supplied
object is automatically supplied and does not need to be specified. A
warning will be thrown if focal
is supplied and differs
from the focal
component of the supplied object.
Errors are prettier.
lmw
0.0.1