Function reference • estimatr

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
`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

Reference

All functions