Fast Estimators for Design-Based Inference

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Documentation for package ‘estimatr’ version 2.0.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

estimatr-package	estimatr: Fast Estimators for Design-Based Inference
augment.iv_robust	Augment a Model Object with Fitted Values and Residuals
augment.lm_robust	Augment a Model Object with Fitted Values and Residuals
commarobust	Functions removed in 2.0
difference_in_means	Design-Based Difference-in-Means Estimator
estimatr	estimatr: Fast Estimators for Design-Based Inference
estimatr-defunct	Functions removed in 2.0
estimatr_tidiers	Tidy an estimatr object
extract.iv_robust	Extract model data for the 'texreg' package
extract.lm_robust	Extract model data for the 'texreg' package
horvitz_thompson	Horvitz-Thompson Estimator with Inverse Probability Weighting
iv_robust	Two-Stage Least Squares Instrumental Variables Regression
lh_robust	Linear Hypothesis Test for OLS with Robust Standard Errors
lm_lin	Linear Regression with Lin (2013) Covariate Adjustment
lm_robust	Ordinary Least Squares with Robust Standard Errors
lm_robust_fit	Internal method that creates linear fits
predict.lm_robust	Predict method for 'lm_robust' object
starprep	Functions removed in 2.0
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