Installation
About
Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) doi:10.1214/12-AOAS583.
declaredesign.org/r/estimatr/ | |
github.com/DeclareDesign/estimatr | |
Bug report | File report |
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Depends
R | ≥ 3.6.0 |