# Fast Estimators for Design-Based Inference

## Documentation for package ‘estimatr’ version 1.0.0

- DESCRIPTION file.

## Help Pages

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