Package: estimatr 1.0.2
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:
estimatr_1.0.2.tar.gz
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estimatr.pdf |estimatr.html✨
estimatr/json (API)
NEWS
# Install 'estimatr' in R: |
install.packages('estimatr', repos = c('https://declaredesign.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/declaredesign/estimatr/issues
- alo_star_men - Replication data for Lin 2013
Last updated 8 months agofrom:521a331bf4. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win-x86_64 | OK | Nov 11 2024 |
R-4.5-linux-x86_64 | OK | Nov 11 2024 |
R-4.4-win-x86_64 | OK | Nov 11 2024 |
R-4.4-mac-x86_64 | OK | Nov 11 2024 |
R-4.4-mac-aarch64 | OK | Nov 11 2024 |
R-4.3-win-x86_64 | OK | Nov 11 2024 |
R-4.3-mac-x86_64 | OK | Nov 11 2024 |
R-4.3-mac-aarch64 | OK | Nov 11 2024 |
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