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.
- Version1.0.4
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release03/31/2024
Documentation
Team
Graeme Blair
Jasper Cooper
Show author detailsRolesAuthorRussell Lenth
Show author detailsRolesContributorAlexander Coppock
Show author detailsRolesAuthorMacartan Humphreys
Lily Medina
Neal Fultz
Show author detailsRolesContributorLuke Sonnet
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 13,072 times in the last 30 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 716 times.
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Last 365 days
This package has been downloaded 129,628 times in the last 365 days. That's a whole lot of downloads. Somewhere, a librarian is trying to figure out why more bandwidth is needed. The day with the most downloads was Nov 26, 2024 with 854 downloads.
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Dependencies
- Imports4 packages
- Enhances1 package
- Suggests14 packages
- Linking To2 packages
- Reverse Depends3 packages
- Reverse Imports7 packages
- Reverse Suggests8 packages