dfadjust 1.0.5

Minor improvements and fixes

Fix inaccuracies about theoretical properties of the variance estimator in package vignette

Fix incorrect computation of CR2 variance estimator and degrees of freedom adjustment if data not sorted by cluster

The function dfadjustSE implements small-sample degrees of freedom adjustment discussed in Imbens and Kolesár (2016), using both heteroskedasticity-robust and clustered standard errors. For clustered standard errors, the package implements both the Imbens and Kolesár (2016) and the Bell and McCaffrey (2002, Survey Methodology) degrees of freedom adjustments.
This implementation can handle models with fixed effects, as well as datasets with a large number of observations (for heteroskedasticity-robust standard errors) or datasets with large clusters (for clustered standard errors)