Package index • 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-package 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