The way I ordered the output of estfun.DirectAdjusted() was liable to change upon different calls when no by argument was provided to cov_adj() and the fallback ordering variables--the unit of assignment variables in the Design object--contained NA's. This resulted in vcovDA() spitting out different estimates from call to call. I fixed this bug, which necessitated changing the order of the estimating equations matrix (not consequential in and of itself). The ordering is provided in the documentation. I beefed up testing, and made sure this new procedure works when the cluster argument is invoked in vcovDA().
The way I ordered the output of
estfun.DirectAdjusted()
was liable to change upon different calls when noby
argument was provided tocov_adj()
and the fallback ordering variables--the unit of assignment variables in theDesign
object--contained NA's. This resulted invcovDA()
spitting out different estimates from call to call. I fixed this bug, which necessitated changing the order of the estimating equations matrix (not consequential in and of itself). The ordering is provided in the documentation. I beefed up testing, and made sure this new procedure works when thecluster
argument is invoked invcovDA()
.