Description
Robust covariance matrix estimators can be computed in R for model inference. Researchers use it to account for heteroskedasticity, clustering, and other departures from ideal assumptions.
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Robust Covariance Matrix Estimators
en Robust covariance matrix estimators can be computed in R for model inference. Researchers use it to account for heteroskedasticity, clustering, and other departures from ideal assumptions.
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