Man pages for ben-arnold/washb
Internal WASH Benefits Function Package
| cowboy_glm | Run glm with Lasso prescreening built into boostrapped... |
| design_matrix | Convert a vector, matrix or data frame with factors into a... |
| dot-onAttach | washb Package loading startup function |
| sandwichSE | sandwichSE |
| washb_bangladesh_anthro | dataset: Bangladesh anthropometry analysis |
| washb_bangladesh_diar | dataset: Bangladesh diarrhea analysis |
| washb_bangladesh_enrol | dataset: Bangladesh enrollment analysis |
| washb_bangladesh_track_compound | dataset: Bangladesh track compound analysis |
| washb_bangladesh_uptake | dataset: Bangladesh uptake analysis |
| washb_bang_tr | dataset: Bangladesh treatment assignments |
| washb_glm | Generalized linear model function for the WASH Benefits study |
| washb_glmFormat | An internal formatting function for results output in glm... |
| washb_glm_lasso_boot | Generalized linear model function for the WASH Benefits study |
| washb_glmnet_prescreen | Pre-screen covariates using a likelihood ratio test. |
| washb_lincom | Estimate linear combinations of GLM regression coefficients. |
| washb_mean | Estimate means with robust SEs |
| washb_mh | Mantel-Haenszel pooled estimates of the prevalence ratio (PR)... |
| washb_permute | Conditional permutation test using the Wilcoxon signed rank... |
| washb_prescreen | Pre-screen covariates using a likelihood ratio test. |
| washb_tmle | Target maximum likelihood estimation of intention-to-treat... |
| washb_ttest | Paired t-test for the WASH Benefits trials |
