Package: estimatr 1.0.2

Graeme Blair

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>.

Authors:Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb], Lily Medina [ctb], Russell Lenth [ctb]

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NEWS

Peer review:

Bug tracker:https://github.com/declaredesign/estimatr/issues

On CRAN:

16 exports 131 stars 5.31 score 5 dependencies 10 dependents 3 mentions 1.5k scripts 9.2k downloads

Last updated 6 months agofrom:521a331bf4. Checks:OK: 9. Indexed: yes.

Exports:commarobustdeclaration_to_condition_pr_matdifference_in_meansextract.iv_robustextract.lm_robustgen_pr_matrix_clusterglancehorvitz_thompsoniv_robustlh_robustlm_linlm_robustlm_robust_fitpermutations_to_condition_pr_matstarpreptidy

Dependencies:FormulagenericsRcppRcppEigenrlang