| bscm-package | The 'bscm' package |
| as.data.frame | Extract posterior draws of model parameters as a data frame |
| as.data.frame.bscmfit | Extract posterior draws of model parameters as a data frame |
| as_draws | Return posterior draws from BSCM fit as a draws object |
| as_draws.bscmfit | Return posterior draws from BSCM fit as a draws object |
| average_treatment_effect | Pre- and post-treatment average effects of a Bayesian synthetic control model |
| average_treatment_effect.bscmfit | Pre- and post-treatment average effects of a Bayesian synthetic control model |
| bayes_R2 | Bayesian R-squared value |
| bayes_R2.bscmfit | Bayesian R-squared value |
| beta_pr | Prior distributions in the Bayesian synthetic control model |
| bscm | Estimate Bayesian synthetic control model |
| bscm_prior | Prior distributions in the Bayesian synthetic control model |
| check_mcmc_diagnostics | Check the validity of the posterior of 'bscmfit' object |
| check_mcmc_diagnostics.bscmfit | Check the validity of the posterior of 'bscmfit' object |
| coef | Extract regression coefficients of a Bayesian synthetic control model |
| coef.bscmfit | Extract regression coefficients of a Bayesian synthetic control model |
| covariate_adjustment | Covariate adjustments for Bayesian synthetic control model |
| covariate_adjustment.bscmfit | Covariate adjustments for Bayesian synthetic control model |
| covariate_imbalance | Covariate imbalance of Bayesian synthetic control model |
| covariate_imbalance.bscmfit | Covariate imbalance of Bayesian synthetic control model |
| dirichlet_pr | Prior distributions in the Bayesian synthetic control model |
| donor_ranking | Donor ranking |
| donor_weights | Extract donor weights of a Bayesian synthetic control model |
| donor_weights.bscmfit | Extract donor weights of a Bayesian synthetic control model |
| effective_donors | Extract the number of effective donors in a Bayesian synthetic control model |
| effective_donors.bscmfit | Extract the number of effective donors in a Bayesian synthetic control model |
| exponential_pr | Prior distributions in the Bayesian synthetic control model |
| fitted | Expected values of posterior predictive distribution of Bayesian synthetic control model |
| fitted.bscmfit | Expected values of posterior predictive distribution of Bayesian synthetic control model |
| fit_single_treated | Example bscmfit object |
| gamma_pr | Prior distributions in the Bayesian synthetic control model |
| get_priors | Get prior specifications used in the Bayesian synthetic control model |
| get_priors.bscmfit | Get prior specifications used in the Bayesian synthetic control model |
| get_refmodel | Create a projpred reference model from a BSCM fit |
| get_refmodel.bscmfit | Create a projpred reference model from a BSCM fit |
| get_standata | Get input data to Stan from 'bscmfit' object |
| get_stanfit | Extract the 'stanfit' object from the 'bscmfit' object |
| get_stanfit.bscmfit | Extract the 'stanfit' object from the 'bscmfit' object |
| get_stanfit.default | Extract the 'stanfit' object from the 'bscmfit' object |
| half_normal_pr | Prior distributions in the Bayesian synthetic control model |
| leave_donor_out | Leave-out donor sensitivity of a Bayesian synthetic control model |
| leave_donor_out.bscmfit | Leave-out donor sensitivity of a Bayesian synthetic control model |
| lfo | Leave-Future-Out Cross-Validation |
| lfo.bscmfit | Leave-Future-Out Cross-Validation |
| logistic_normal_pr | Prior distributions in the Bayesian synthetic control model |
| log_lik | Posterior draws of pointwise log-likelihood |
| log_lik.bscmfit | Posterior draws of pointwise log-likelihood |
| loo | Approximate leave-one-out (LOO) cross-validation for Bayesian synthetic control models |
| loo.bscmfit | Approximate leave-one-out (LOO) cross-validation for Bayesian synthetic control models |
| loo_R2 | Bayesian R-squared value |
| loo_R2.bscmfit | Bayesian R-squared value |
| multiple_treated | Simulated example data with multiple treated units |
| nchains | Return the number of chains of 'bscmfit' object |
| nchains.bscmfit | Return the number of chains of 'bscmfit' object |
| ndraws | Return the number of posterior draws of a 'bscmfit' object |
| ndraws.bscmfit | Return the number of posterior draws of a 'bscmfit' object |
| normal_pr | Prior distributions in the Bayesian synthetic control model |
| placebo_effects | Placebo effects of a Bayesian synthetic control model |
| placebo_effects.bscmfit | Placebo effects of a Bayesian synthetic control model |
| plot | Visualize BSCM estimates |
| plot.bscmfit | Visualize BSCM estimates |
| plot.bscm_lfo | Plot Pareto k diagnostics from LFO cross-validation |
| plot_coefs | Visualize regression coefficients of Bayesian synthetic control model |
| plot_coefs.bscmfit | Visualize regression coefficients of Bayesian synthetic control model |
| plot_effects | Visualize BSCM treatment effects |
| plot_effects.bscmfit | Visualize BSCM treatment effects |
| plot_effects.bscm_ldo | Visualize BSCM treatment effects |
| plot_effects.bscm_placebo_effects | Visualize BSCM treatment effects |
| plot_residuals | Visualize BSCM residuals |
| plot_residuals.bscmfit | Visualize BSCM residuals |
| plot_weights | Visualize donor weights |
| plot_weights.bscmfit | Visualize donor weights |
| plot_weights.bscm_ldo | Visualize donor weights |
| posterior_epred | Posterior Draws of the Expected Predictive Distribution |
| posterior_epred.bscmfit | Posterior Draws of the Expected Predictive Distribution |
| posterior_linpred | Posterior Draws of the Linear Predictor |
| posterior_linpred.bscmfit | Posterior Draws of the Linear Predictor |
| posterior_predict | Posterior Predictive Distribution of Bayesian Synthetic Control Model |
| posterior_predict.bscmfit | Posterior Predictive Distribution of Bayesian Synthetic Control Model |
| print.bscmfit | Print method for bscmfit objects |
| print.bscmfit_diagnostics | Print MCMC Diagnostics |
| print.bscm_lfo | Print method for LFO cross-validation output |
| print.summary_bscmfit | Print method for bscmfit objects |
| proj_predict_bscm | Predictions from a projected BSCM model |
| residuals | Posterior residuals of a Bayesian synthetic control model |
| residuals.bscmfit | Posterior residuals of a Bayesian synthetic control model |
| residual_acf | Autocorrelation function for residuals of BSCM |
| rmse | Extract root mean squared errors of a Bayesian synthetic control model |
| rmse.bscmfit | Extract root mean squared errors of a Bayesian synthetic control model |
| rmse_ratio | Extract the ratio of post- to pre-treatment RMSE |
| rmse_ratio.bscmfit | Extract the ratio of post- to pre-treatment RMSE |
| sigma | Extract residual standard deviations of a Bayesian synthetic control model |
| sigma.bscmfit | Extract residual standard deviations of a Bayesian synthetic control model |
| single_treated | Simulated example data with single treated unit |
| student_pr | Prior distributions in the Bayesian synthetic control model |
| summary | Summarise posterior draws of an estimated Bayesian synthetic control model |
| summary.bscmfit | Summarise posterior draws of an estimated Bayesian synthetic control model |
| synthetic_control | Synthetic control series of a Bayesian synthetic control model |
| synthetic_control.bscmfit | Synthetic control series of a Bayesian synthetic control model |
| treatment_effect | Treatment effect estimates of a Bayesian synthetic control model |
| treatment_effect.bscmfit | Treatment effect estimates of a Bayesian synthetic control model |
| tv | Define the time-varying coefficients for BSCM |