estimatr
Fast Estimators for Design-Based Inference
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.6 |
2026-04-09 windows/windows R-4.5 | estimatr_1.0.6.zip |
778.6 KiB |