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 |