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