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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 0.0.1These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.