Man pages for graemeblair/DDestimate
Fast Estimators for Design-Based Inference
| 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... |
| 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.lm_robust | Extract model data for 'texreg' package |
| gen_pr_matrix_cluster | Generate condition probability matrix given clusters and... |
| 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... |
| 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... |
| predict.lm_robust | Predict method for 'lm_robust' object |
| reexports | Objects exported from other packages |
| starprep | Prepare model fits for stargazer |
