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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>.

copied from cf-staging / r-estimatr
Type Size Name Uploaded Downloads Labels
conda 450.6 kB | win-64/r-estimatr-0.22.0-r35h796a38f_0.tar.bz2  5 years and 4 months ago 1053 main cf202003
conda 454.7 kB | win-64/r-estimatr-0.22.0-r36h796a38f_0.tar.bz2  5 years and 4 months ago 1069 main cf202003
conda 457.0 kB | osx-64/r-estimatr-0.22.0-r35hc5da6b9_0.tar.bz2  5 years and 4 months ago 343 main cf202003
conda 460.0 kB | osx-64/r-estimatr-0.22.0-r36hc5da6b9_0.tar.bz2  5 years and 4 months ago 346 main cf202003
conda 453.0 kB | linux-64/r-estimatr-0.22.0-r36h0357c0b_0.tar.bz2  5 years and 4 months ago 3529 main cf202003
conda 450.1 kB | linux-64/r-estimatr-0.22.0-r35h0357c0b_0.tar.bz2  5 years and 4 months ago 3489 main cf202003

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