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All functions

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-package
estimatr
glance(<lm_robust>) glance(<lh_robust>) glance(<iv_robust>) glance(<difference_in_means>) glance(<horvitz_thompson>)
Glance at an estimatr object
tidy(<lm_robust>) tidy(<iv_robust>) tidy(<difference_in_means>) tidy(<horvitz_thompson>) tidy(<lh_robust>) tidy(<lh>)
Tidy an estimatr object
extract.robust_default() extract.lm_robust() extract.iv_robust()
Extract model data for texreg package
gen_pr_matrix_cluster()
Generate condition probability matrix given clusters and probabilities
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