{
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  "Package": "bscm",
  "Title": "Bayesian Synthetic Control Models",
  "Version": "1.0.1",
  "Authors@R": "person(\"Jouni\", \"Helske\", email = \"jouni.helske@iki.fi\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7130-793X\"))",
  "Description": "Implements the synthetic control method of Abadie,\nDiamond, and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746>\nwithin a Bayesian framework, enabling straightforward\nuncertainty quantification of treatment effects and other\nquantities of interest. Supports time-varying covariates with\npotentially time-varying effects, single or multiple treated\nunits, and staggered treatment adoption. Provides methods for\nmodel assessment, comparison, and selection based on placebo\nstudies, cross-validation, and posterior predictive checks.\nPosterior sampling is performed using Markov chain Monte Carlo\nvia Stan.",
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  "Author": "Jouni Helske [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-7130-793X>)",
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    "leave_donor_out",
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    "log_lik",
    "logistic_normal_pr",
    "loo",
    "loo_R2",
    "nchains",
    "ndraws",
    "normal_pr",
    "placebo_effects",
    "plot_coefs",
    "plot_effects",
    "plot_residuals",
    "plot_weights",
    "posterior_epred",
    "posterior_linpred",
    "posterior_predict",
    "proj_predict_bscm",
    "residual_acf",
    "rmse",
    "rmse_ratio",
    "student_pr",
    "synthetic_control",
    "treatment_effect",
    "tv"
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      "title": "Example bscmfit object",
      "object": "fit_single_treated",
      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
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      ],
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        "id",
        "y",
        "x",
        "z",
        "treatment"
      ],
      "rows": 2120,
      "table": true,
      "tojson": true
    },
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      "name": "single_treated",
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        "id",
        "y",
        "x",
        "treatment"
      ],
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      "table": true,
      "tojson": true
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    {
      "page": "bscm-package",
      "title": "The 'bscm' package",
      "topics": [
        "bscm-package"
      ]
    },
    {
      "page": "as_draws.bscmfit",
      "title": "Return posterior draws from BSCM fit as a draws object",
      "topics": [
        "as_draws",
        "as_draws.bscmfit"
      ]
    },
    {
      "page": "as.data.frame.bscmfit",
      "title": "Extract posterior draws of model parameters as a data frame",
      "topics": [
        "as.data.frame",
        "as.data.frame.bscmfit"
      ]
    },
    {
      "page": "average_treatment_effect",
      "title": "Pre- and post-treatment average effects of a Bayesian synthetic control model",
      "topics": [
        "average_treatment_effect",
        "average_treatment_effect.bscmfit"
      ]
    },
    {
      "page": "bscm",
      "title": "Estimate Bayesian synthetic control model",
      "topics": [
        "bscm"
      ]
    },
    {
      "page": "bscm_prior",
      "title": "Prior distributions in the Bayesian synthetic control model",
      "topics": [
        "beta_pr",
        "bscm_prior",
        "dirichlet_pr",
        "exponential_pr",
        "gamma_pr",
        "half_normal_pr",
        "logistic_normal_pr",
        "normal_pr",
        "student_pr"
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    },
    {
      "page": "check_mcmc_diagnostics",
      "title": "Check the validity of the posterior of 'bscmfit' object",
      "topics": [
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        "check_mcmc_diagnostics.bscmfit"
      ]
    },
    {
      "page": "coef.bscmfit",
      "title": "Extract regression coefficients of a Bayesian synthetic control model",
      "topics": [
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        "coef.bscmfit"
      ]
    },
    {
      "page": "covariate_adjustment",
      "title": "Covariate adjustments for Bayesian synthetic control model",
      "topics": [
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        "covariate_adjustment.bscmfit"
      ]
    },
    {
      "page": "covariate_imbalance",
      "title": "Covariate imbalance of Bayesian synthetic control model",
      "topics": [
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        "covariate_imbalance.bscmfit"
      ]
    },
    {
      "page": "donor_ranking",
      "title": "Donor ranking",
      "topics": [
        "donor_ranking"
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    },
    {
      "page": "donor_weights",
      "title": "Extract donor weights of a Bayesian synthetic control model",
      "topics": [
        "donor_weights",
        "donor_weights.bscmfit"
      ]
    },
    {
      "page": "effective_donors",
      "title": "Extract the number of effective donors in a Bayesian synthetic control model",
      "topics": [
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        "effective_donors.bscmfit"
      ]
    },
    {
      "page": "fit_single_treated",
      "title": "Example bscmfit object",
      "topics": [
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      ]
    },
    {
      "page": "fitted.bscmfit",
      "title": "Expected values of posterior predictive distribution of Bayesian synthetic control model",
      "topics": [
        "fitted",
        "fitted.bscmfit"
      ]
    },
    {
      "page": "get_priors",
      "title": "Get prior specifications used in the Bayesian synthetic control model",
      "topics": [
        "get_priors",
        "get_priors.bscmfit"
      ]
    },
    {
      "page": "get_refmodel.bscmfit",
      "title": "Create a projpred reference model from a BSCM fit",
      "topics": [
        "get_refmodel",
        "get_refmodel.bscmfit"
      ]
    },
    {
      "page": "get_standata",
      "title": "Get input data to Stan from 'bscmfit' object",
      "topics": [
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      ]
    },
    {
      "page": "get_stanfit",
      "title": "Extract the 'stanfit' object from the 'bscmfit' object",
      "topics": [
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        "get_stanfit.bscmfit",
        "get_stanfit.default"
      ]
    },
    {
      "page": "leave_donor_out",
      "title": "Leave-out donor sensitivity of a Bayesian synthetic control model",
      "topics": [
        "leave_donor_out",
        "leave_donor_out.bscmfit"
      ]
    },
    {
      "page": "lfo",
      "title": "Leave-Future-Out Cross-Validation",
      "topics": [
        "lfo",
        "lfo.bscmfit"
      ]
    },
    {
      "page": "log_lik.bscmfit",
      "title": "Posterior draws of pointwise log-likelihood",
      "topics": [
        "log_lik",
        "log_lik.bscmfit"
      ]
    },
    {
      "page": "R2",
      "title": "Bayesian R-squared value",
      "topics": [
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        "bayes_R2.bscmfit",
        "loo_R2",
        "loo_R2.bscmfit"
      ]
    },
    {
      "page": "loo.bscmfit",
      "title": "Approximate leave-one-out (LOO) cross-validation for Bayesian synthetic control models",
      "topics": [
        "loo",
        "loo.bscmfit"
      ]
    },
    {
      "page": "multiple_treated",
      "title": "Simulated example data with multiple treated units",
      "topics": [
        "multiple_treated"
      ]
    },
    {
      "page": "nchains.bscmfit",
      "title": "Return the number of chains of 'bscmfit' object",
      "topics": [
        "nchains",
        "nchains.bscmfit"
      ]
    },
    {
      "page": "ndraws.bscmfit",
      "title": "Return the number of posterior draws of a 'bscmfit' object",
      "topics": [
        "ndraws",
        "ndraws.bscmfit"
      ]
    },
    {
      "page": "placebo_effects",
      "title": "Placebo effects of a Bayesian synthetic control model",
      "topics": [
        "placebo_effects",
        "placebo_effects.bscmfit"
      ]
    },
    {
      "page": "plot_coefs",
      "title": "Visualize regression coefficients of Bayesian synthetic control model",
      "topics": [
        "plot_coefs",
        "plot_coefs.bscmfit"
      ]
    },
    {
      "page": "plot_effects",
      "title": "Visualize BSCM treatment effects",
      "topics": [
        "plot_effects",
        "plot_effects.bscmfit",
        "plot_effects.bscm_ldo",
        "plot_effects.bscm_placebo_effects"
      ]
    },
    {
      "page": "plot_residuals",
      "title": "Visualize BSCM residuals",
      "topics": [
        "plot_residuals",
        "plot_residuals.bscmfit"
      ]
    },
    {
      "page": "plot_weights",
      "title": "Visualize donor weights",
      "topics": [
        "plot_weights",
        "plot_weights.bscmfit",
        "plot_weights.bscm_ldo"
      ]
    },
    {
      "page": "plot.bscm_lfo",
      "title": "Plot Pareto k diagnostics from LFO cross-validation",
      "topics": [
        "plot.bscm_lfo"
      ]
    },
    {
      "page": "plot.bscmfit",
      "title": "Visualize BSCM estimates",
      "topics": [
        "plot",
        "plot.bscmfit"
      ]
    },
    {
      "page": "posterior_epred.bscmfit",
      "title": "Posterior Draws of the Expected Predictive Distribution",
      "topics": [
        "posterior_epred",
        "posterior_epred.bscmfit"
      ]
    },
    {
      "page": "posterior_linpred.bscmfit",
      "title": "Posterior Draws of the Linear Predictor",
      "topics": [
        "posterior_linpred",
        "posterior_linpred.bscmfit"
      ]
    },
    {
      "page": "posterior_predict.bscmfit",
      "title": "Posterior Predictive Distribution of Bayesian Synthetic Control Model",
      "topics": [
        "posterior_predict",
        "posterior_predict.bscmfit"
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    },
    {
      "page": "print.bscm_lfo",
      "title": "Print method for LFO cross-validation output",
      "topics": [
        "print.bscm_lfo"
      ]
    },
    {
      "page": "print_bscm",
      "title": "Print method for bscmfit objects",
      "topics": [
        "print.bscmfit",
        "print.summary_bscmfit"
      ]
    },
    {
      "page": "print.bscmfit_diagnostics",
      "title": "Print MCMC Diagnostics",
      "topics": [
        "print.bscmfit_diagnostics"
      ]
    },
    {
      "page": "proj_predict_bscm",
      "title": "Predictions from a projected BSCM model",
      "topics": [
        "proj_predict_bscm"
      ]
    },
    {
      "page": "residual_acf",
      "title": "Autocorrelation function for residuals of BSCM",
      "topics": [
        "residual_acf"
      ]
    },
    {
      "page": "residuals.bscmfit",
      "title": "Posterior residuals of a Bayesian synthetic control model",
      "topics": [
        "residuals",
        "residuals.bscmfit"
      ]
    },
    {
      "page": "rmse",
      "title": "Extract root mean squared errors of a Bayesian synthetic control model",
      "topics": [
        "rmse",
        "rmse.bscmfit"
      ]
    },
    {
      "page": "rmse_ratio",
      "title": "Extract the ratio of post- to pre-treatment RMSE",
      "topics": [
        "rmse_ratio",
        "rmse_ratio.bscmfit"
      ]
    },
    {
      "page": "sigma.bscmfit",
      "title": "Extract residual standard deviations of a Bayesian synthetic control model",
      "topics": [
        "sigma",
        "sigma.bscmfit"
      ]
    },
    {
      "page": "single_treated",
      "title": "Simulated example data with single treated unit",
      "topics": [
        "single_treated"
      ]
    },
    {
      "page": "summary.bscmfit",
      "title": "Summarise posterior draws of an estimated Bayesian synthetic control model",
      "topics": [
        "summary",
        "summary.bscmfit"
      ]
    },
    {
      "page": "synthetic_control",
      "title": "Synthetic control series of a Bayesian synthetic control model",
      "topics": [
        "synthetic_control",
        "synthetic_control.bscmfit"
      ]
    },
    {
      "page": "treatment_effect",
      "title": "Treatment effect estimates of a Bayesian synthetic control model",
      "topics": [
        "treatment_effect",
        "treatment_effect.bscmfit"
      ]
    },
    {
      "page": "tv",
      "title": "Define the time-varying coefficients for BSCM",
      "topics": [
        "tv"
      ]
    }
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