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)
- Version1.0.4
- R version≥ 3.6.0
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?Yes
- Last release03/31/2024
Documentation
Team
Graeme Blair
Jasper Cooper
Show author detailsRolesAuthorAlexander Coppock
Show author detailsRolesAuthorMacartan Humphreys
Show author detailsRolesAuthorLuke Sonnet
Show author detailsRolesAuthorNeal Fultz
Show author detailsRolesContributorLily Medina
Show author detailsRolesContributorRussell Lenth
Show author detailsRolesContributor
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- Depends1 package
- Imports5 packages
- Enhances1 package
- Suggests14 packages
- Linking To2 packages
- Reverse Depends3 packages
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