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estimatr  

Fast Estimators for Design-Based Inference
View on CRAN: Click here


Download and install estimatr package within the R console
Install from CRAN:
install.packages("estimatr")

Install from Github:
library("remotes")
install_github("cran/estimatr")

Install by package version:
library("remotes")
install_version("estimatr", "2.0.0")



Attach the package and use:
library("estimatr")
Maintained by
Graeme Blair
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-29
Latest Update: 2025-02-28
Description:
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) .
How to cite:
Graeme Blair (2018). estimatr: Fast Estimators for Design-Based Inference. R package version 2.0.0, https://cran.r-project.org/web/packages/estimatr. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-09-16 16:30), 0.2.0 (2018-01-29 11:02), 0.4.0 (2018-02-15 23:38), 0.6.0 (2018-03-28 10:19), 0.8.0 (2018-06-02 06:58), 0.10.0 (2018-07-12 09:30), 0.12 (2018-09-16 00:50), 0.14 (2018-11-06 13:30), 0.16 (2019-03-02 09:10), 0.18.0 (2019-05-26 06:50), 0.20.0 (2019-09-09 07:10), 0.22.0 (2020-03-19 14:00), 0.24.0 (2020-09-02 09:00), 0.26.0 (2020-09-07 12:20), 0.28.0 (2020-11-19 14:10), 0.30.0 (2021-01-07 08:00), 0.30.2 (2021-01-17 06:50), 0.30.4 (2021-11-07 16:50), 0.30.6 (2022-01-31 09:30), 1.0.0 (2022-07-04 14:40), 1.0.2 (2024-01-17 08:00), 1.0.4 (2024-04-01 01:30), 1.0.6 (2025-02-28 20:30)
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