estimatr

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.

Last 30 days

This package has been downloaded 13,072 times in the last 30 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! 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. Practically an academic rockstar! That's enough downloads to cause murmurs at international conferences. The day with the most downloads was Nov 26, 2024 with 854 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.