estimatr-package | estimatr |
alo_star_men | Replication data for Lin 2013 |
commarobust | Build lm_robust object from lm fit |
declaration_to_condition_pr_mat | Builds condition probability matrices for Horvitz-Thompson estimation from 'randomizr' declaration |
difference_in_means | Design-based difference-in-means estimator |
estimatr | estimatr |
estimatr_glancers | Glance at an estimatr object |
estimatr_tidiers | Tidy an estimatr object |
extract.iv_robust | Extract model data for 'texreg' package |
extract.lm_robust | Extract model data for 'texreg' package |
extract.robust_default | Extract model data for 'texreg' package |
gen_pr_matrix_cluster | Generate condition probability matrix given clusters and probabilities |
glance.difference_in_means | Glance at an estimatr object |
glance.horvitz_thompson | Glance at an estimatr object |
glance.iv_robust | Glance at an estimatr object |
glance.lh_robust | Glance at an estimatr object |
glance.lm_robust | Glance at an estimatr object |
horvitz_thompson | Horvitz-Thompson estimator for two-armed trials |
iv_robust | Two-Stage Least Squares Instrumental Variables Regression |
lh_robust | Linear Hypothesis for Ordinary Least Squares with Robust Standard Errors |
lm_lin | Linear regression with the Lin (2013) covariate adjustment |
lm_robust | Ordinary Least Squares with Robust Standard Errors |
lm_robust_fit | Internal method that creates linear fits |
na.omit_detailed.data.frame | Extra logging on na.omit handler |
permutations_to_condition_pr_mat | Builds condition probability matrices for Horvitz-Thompson estimation from permutation matrix |
predict.lm_robust | Predict method for 'lm_robust' object |
starprep | Prepare model fits for stargazer |
tidy.difference_in_means | Tidy an estimatr object |
tidy.horvitz_thompson | Tidy an estimatr object |
tidy.iv_robust | Tidy an estimatr object |
tidy.lh | Tidy an estimatr object |
tidy.lh_robust | Tidy an estimatr object |
tidy.lm_robust | Tidy an estimatr object |