graemeblair/DDestimate: Fast Estimators for Design-Based Inference

Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.20.0
URL https://declaredesign.org/r/estimatr/ https://github.com/DeclareDesign/estimatr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("graemeblair/DDestimate")
graemeblair/DDestimate documentation built on Sept. 10, 2019, 7:38 p.m.