estimatr v0.18.0
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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>.
Functions in estimatr
| Name | Description | |
| estimatr | estimatr | |
| lm_robust | Ordinary Least Squares with Robust Standard Errors | |
| gen_pr_matrix_cluster | Generate condition probability matrix given clusters and probabilities | |
| estimatr_tidiers | Tidy an estimatr object | |
| horvitz_thompson | Horvitz-Thompson estimator for two-armed trials | |
| iv_robust | Two-Stage Least Squares Instrumental Variables Regression | |
| declaration_to_condition_pr_mat | Builds condition probability matrices for Horvitz-Thompson estimation from randomizr declaration | |
| lh_robust | Linear Hypothesis for Ordinary Least Squares with Robust Standard Errors | |
| difference_in_means | Design-based difference-in-means estimator | |
| extract.robust_default | Extract model data for texreg package | |
| alo_star_men | Replication data for Lin 2013 | |
| commarobust | Build lm_robust object from lm fit | |
| reexports | Objects exported from other packages | |
| starprep | Prepare model fits for stargazer | |
| lm_robust_fit | Internal method that creates linear fits | |
| permutations_to_condition_pr_mat | Builds condition probability matrices for Horvitz-Thompson estimation from permutation matrix | |
| na.omit_detailed.data.frame | Extra logging on na.omit handler | |
| predict.lm_robust | Predict method for lm_robust object | |
| lm_lin | Linear regression with the Lin (2013) covariate adjustment | |
| estimatr_glancers | Glance at an estimatr object | |
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Details
| Type | Package |
| Date | 2019-05-25 |
| URL | https://declaredesign.org/r/estimatr/, https://github.com/DeclareDesign/estimatr |
| BugReports | https://github.com/DeclareDesign/estimatr/issues |
| License | MIT + file LICENSE |
| LinkingTo | Rcpp, RcppEigen |
| RoxygenNote | 6.1.1 |
| LazyData | true |
| NeedsCompilation | yes |
| Packaged | 2019-05-26 01:55:42 UTC; luke |
| Repository | CRAN |
| Date/Publication | 2019-05-26 04:50:20 UTC |
| suggests | AER , car , clubSandwich , fabricatr (>= 0.4) , ivpack , lfe , margins , prediction , randomizr (>= 0.16) , RcppEigen , sandwich , stargazer , testthat |
| imports | Formula , generics , methods , Rcpp (>= 0.12.16) , rlang (>= 0.2.0) |
| depends | R (>= 3.4.0) |
| enhances | texreg |
| Contributors | Neal Fultz, Jasper Cooper, Alexander Coppock, Macartan Humphreys, Luke Sonnet, Lily Medina |
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