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dfadjust 1.0.5
Minor improvements and fixes
- Fix inaccuracies about theoretical properties of the variance
estimator in package vignette
dfadjust 1.0.4
Minor improvements and
fixes
- Adjust tolerance in unit tests so there are no issues on M1 Mac
dfadjust 1.0.3
Minor improvements and
fixes
- Fix incorrect computation of p-values in the
print.dfadjustSE method
dfadjust 1.0.2
Minor improvements and
fixes
- Fix incorrect computation of CR2 variance estimator and degrees of
freedom adjustment if data not sorted by cluster
dfadjust 1.0.1
Minor improvements and
fixes
- Fix problem with failing tests when platform didn’t use long
double
dfadjust 1.0.0
New Features
- 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)
These 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.