| abs_tstat | absolute value of the t statistic |
| bin_search | Wrapper for bin_search_ which generates tolerances to search... |
| bin_search_ | Perform binary search for the smallest balance which is... |
| bin_search_balancer | Find the minimal amount of regularization possible |
| bootstrap_bal | Bootstrap standard errors for estimated counterfactual with... |
| bootstrap_ridgeaug | Bootstrap standard errors for estimated counterfactual with... |
| bootstrap_sc | Bootstrap standard errors for estimated counterfactual with... |
| cherno_test | Weighted Least Squares Standard Errors |
| clean_basque | Clean up the basque data that comes from the Synth package |
| compute_att | Compute the ATT in the post-period |
| compute_stat | Compute a test statistic statfunc(Y_t | t in times) |
| concat_synth_out | Fit synthetic controls for multiple outcomes with random... |
| create_index | Create an index of the outcomes with a weighted average |
| cv_di_bal | Cross validation for balancing weights, DI style Uses the CV... |
| cv_kfold_bal | Cross validation for balancing weights K-fold cross... |
| cv_wz_bal | Cross validation for l2_entropy regularized synthetic... |
| di_standard_error | Estimate the variance of the SC estimate |
| double_screen | Screen covariates for the outcome process with LASSO and... |
| ents | ents: A package for maximum entropy synthetic controls with... |
| est_att | Fit weights and get att estimates |
| firpo_inf | Get the permutation distribution of the test stat assuming... |
| firpo_inf_synth | Get the permutation distribution of SC estimate test... |
| fit_augsyn_formatted | Fit E[Y(0)|X] and for each post-period and balance pre-period |
| fit_balancer_formatted | Find Balancing weights by solving the dual optimization... |
| fit_dr | Fit a regularized outcome model and synthetic controls |
| fit_dr_formatted | Fit a regularized outcome model and synthetic controls for a... |
| fit_ebal_formatted | Fit entropy balancing weights |
| fit_entropy | Fit l2 entropy regularized synthetic controls on outcomes... |
| fit_entropy_formatted | Fit l2 entropy regularized synthetic controls by solving the... |
| fit_ipw | Fit IPW weights with a logit propensity score model |
| fit_ipw_formatted | Fit IPW weights with a logit propensity score model |
| fit_prog_causalimpact | Fit a bayesian structural time series to fit E[Y(0)|X] |
| fit_prog_cits | Fit a Comparitive interupted time series to fit E[Y(0)|X] |
| fit_prog_complete | Use nuclear norm matrix completion to fit outcome model |
| fit_prog_gsynth | Use gsynth to fit factor model for E[Y(0)|X] |
| fit_prog_mcpanel | Use Athey (2017) matrix completion panel data code |
| fit_prog_reg | Use a separate regularized regression for each post period to... |
| fit_prog_rf | Use a separate random forest regression for each post period... |
| fit_prog_seq2seq | Fit a seq2seq model with a feedforward net to fit E[Y(0)|X] |
| fit_progsyn_formatted | Fit E[Y(0)|X] and for each post-period and balance these |
| fit_residaug_formatted | Fit E[Y(0)|X] and for each post-period and balance pre-period |
| fit_ridgeaug_cov_formatted | Ridge augmented weights with covariates |
| fit_ridgeaug_formatted | Ridge augmented weights |
| fit_screensyn_formatted | Select covariates for E[Y(0)|X], then balance those |
| fit_svd_formatted | Fit synthetic controls on outcomes after performing SVD |
| fit_synth | Fit synthetic controls on outcomes, wrapper around... |
| fit_synth_formatted | Fit synthetic controls on outcomes after formatting data |
| fit_uniform_formatted | Use difference in means |
| format_data | Format "long" panel data into "wide" matrices to fit... |
| format_ipw | Format "long" panel data into "wide" matrices to fit IPW |
| format_synth | Get the outcomes data into the correct form for Synth::synth |
| format_synth_multi | Get multiple outcomes data as matrices |
| get_augsyn | Fit outcome model and balance residuals |
| get_balancer | Find Balancing weights by solving the dual optimization... |
| get_dr | Fit a regularized outcome model and synthetic controls |
| get_ebal | Fit entropy balancing weights |
| get_entropy | Fit l2_entropy regularized synthetic controls on outcomes |
| get_index | Fit synthetic controls for multiple outcomes together with an... |
| get_index_ent | Fit entropy regularized synthetic controls for multiple... |
| get_index_syn | Fit synthetic controls for multiple outcomes together with an... |
| get_ipw | Fit IPW weights with a logit propensity score model |
| get_joint | Fit synthetic controls for multiple outcomes with the same... |
| get_joint_ent | Fit entropy regularized synthetic controls for multiple... |
| get_joint_syn | Fit synthetic controls for multiple outcomes with the same... |
| get_progsyn | Fit synthetic controls on estimated outcomes under control |
| get_residaug | Fit outcome model and balance residuals |
| get_ridgeaug | Fit synthetic controls on outcomes |
| get_ridgeaug_cov | Fit synthetic controls on outcomes |
| get_screensyn | Fit synthetic controls on estimated outcomes under control |
| get_separate | Fit synthetic controls for multiple outcomes separately |
| get_separate_ent | Fit synthetic controls for multiple outcomes separately |
| get_separate_syn | Fit synthetic controls for multiple outcomes separately |
| get_svd_bal | Find Balancing weights by solving the dual optimization... |
| get_svd_syn | Find Balancing weights by solving the dual optimization... |
| get_synth | Fit synthetic controls on outcomes |
| get_uniform | Use difference in means |
| get_wlsaug | Get weights then fit outcome model with weighted loss... |
| importance_test | Estimate p-value with non-uniform probabilities of treatment... |
| importance_test_sc | Get the weighted permutation distribution of SC estimate test... |
| impute_controls | Impute the controls after fitting synth |
| impute_dr | Impute the controls after fitting a dr estimator |
| impute_residaug | Impute the controls after fitting gynsth and reweighting... |
| impute_synaug | Impute the controls after fitting a dr estimator |
| lasso_screen | Screen covariates for the outcome process |
| lexical | Finds the lowest feasible tolerance in each group, holding... |
| lexical_time | Finds the lowest feasible tolerance in each time period from... |
| logsumexp | Compute numerically stable logsumexp |
| logsumexp_grad | Compute numerically stable logsumexp gradient with natural... |
| loo_se_ridgeaug | Use leave out one estimates (placebo gaps) to estimate... |
| mean_abs | mean absolute difference |
| plot_att | Plot the estimate of the att |
| plot_outcomes | Plot the outcomes from a study/simulation |
| prox_group | prox operator for group LASSO (generalization of prox_l2) |
| prox_l1 | prox operator of sum(lam * abs(x)) |
| prox_l2 | prox operator of lam * ||x||_2 |
| recent_group | Lexically minimizes the imbalance in two groups, recent and... |
| rmse_ratio | test stat is ratio of RMSEs in post and pre |
| sep_lasso | Finds the lowest feasible tolerance in units of standard... |
| sep_lasso_ | Internal function that does the work of sep_lasso |
| sim_factor_model | Generate data from a factor model as in ADH 2010 (5) and... |
| standard_error_ | Internal function to estimate the variance of the SC estimate |
| svyglm_se_ | Compute standard errors from survey glm |
| svyglm_se_synth | svyglm standard errors |
| valid_test | Estimate p-value with non-uniform probabilities of treatment... |
| weighted_test | Estimate p-value with non-uniform probabilities of treatment... |
| weighted_test_bal | Get the weighted permutation distribution of SC estimate test... |
| weighted_test_sc | Get the weighted permutation distribution of SC estimate test... |
| wls_se_ | Compute model-based weighted least squares SE estimates of... |
| wls_se_bal | Bootstrap standard errors for estimated counterfactual with... |
| wls_se_ridgeaug | Weighted Least Squares Standard Errors |
| wls_se_synth | Weighted Least Squares Standard Errors |
| wpermtest | Get the permutation distribution of the test stat assuming... |
| wpermtest2 | Get the permutation distribution of the test stat assuming... |
| wpermtest2_sc | Get the weighted permutation distribution of SC estimate test... |
| wpermtest_sc | Get the weighted permutation distribution of SC estimate test... |
| wvar_se_ridgeaug | Use closed form weighted variance estiamte for... |
