All functions

alo_star_men

Replication data for Lin 2013

coef

Extract estimate from difference_in_means

coef

Extract estimate from horvitz_thompson

coef

Extract coefficients from lm_robust object

confint

Confidence intervals for difference_in_meansobjects

confint

Confidence intervals for horvitz_thompson objects

confint

Confidence intervals for lm_robust objects

declaration_to_condition_pr_mat

Build condition probaability matrix for Horvitz-Thompson estimation from randomization declaration

difference_in_means

Built-in Estimators: Difference-in-means

estimatr

estimatr package

gen_pr_matrix_cluster

Generate condition probability matrix given clusters and probabilities

horvitz_thompson

Horvitz-Thompson estimator of treatment effects

lm_lin

Linear regression with the Lin (2013) covariate adjustment

lm_robust_fit

Internal method that creates linear fits

lm_robust

Ordinary Least Squares with Robust Standard Errors

na.omit_detailed.data.frame

Extra logging on na.omit handler

permutations_to_condition_pr_mat

Build condition probaability matrix for Horvitz-Thompson estimation from treatment permutations

print

Printing difference_in_means objects

print

Printing horvitz_thompson objects

print

Printing lm_robust objects

summary

Summarizing difference_in_means objects

summary

Summarizing horvitz_thompson objects

summary

Summarizing lm_robust objects

tidy

Default tidying method

tidy

Tidying difference_in_means output to a data.frame

tidy

Tidying horvitz_thompson output to a data.frame

tidy

Tidying lm_robust output to a data.frame

tidy

tidy on a NULL input

tidy

Tidy the result of a estimator into a data.frame

vcov

Return estimated variance covariance matrix of difference_in_means

vcov

Return estimated variance covariance matrix of horvitz_thompson

vcov

Return estimated variance covariance matrix of lm_robust