Fast Estimators for Design-Based Inference


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Documentation for package ‘estimatr’ version 0.6.0

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estimatr-package estimatr
alo_star_men Replication data for Lin 2013
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
extract.lm_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
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
tidy Tidy the result of an estimator into a data.frame
tidy.default Tidy the result of an estimator into a data.frame
tidy.difference_in_means Tidy the result of an estimator into a data.frame
tidy.horvitz_thompson Tidy the result of an estimator into a data.frame
tidy.iv_robust Tidy the result of an estimator into a data.frame
tidy.lm_robust Tidy the result of an estimator into a data.frame
tidy.NULL Tidy the result of an estimator into a data.frame