1. ggmcmc::radon
    Simulations of the parameters of a hierarchical model
  2. ggmcmc::s
    Simulations of the parameters of a simple linear regression with fake data.
  3. ggmcmc::s
    Simulations of the parameters of a simple linear regression with fake data.
  4. ggmcmc::s.binary
    Simulations of the parameters of a simple linear regression with fake data.
  5. ggmcmc::s.binary
    Simulations of the parameters of a simple linear regression with fake data.
  6. ggmcmc::s.y.rep
    Simulations of the posterior predictive distribution of a simple linear regression with fake data.
  7. ggmcmc::s.y.rep
    Simulations of the posterior predictive distribution of a simple linear regression with fake data.
  8. ggmcmc::y
    Values for the observed outcome of a simple linear regression with fake data.
  9. ggmcmc::y
    Values for the observed outcome of a simple linear regression with fake data.
  10. ggmcmc::y.binary
    Values for the observed outcome of a binary logistic regression with fake data.
  11. ggmcmc::y.binary
    Values for the observed outcome of a binary logistic regression with fake data.
  12. PolicyPortfolios::P.education
    Simulated policy portfolio with fake data for the education sector.
  13. PolicyPortfolios::P.energy
    Simulated policy portfolio with fake data for the energy sector.
  14. PolicyPortfolios::consensus
    Policy portfolios for the dataset of the CONSENSUS research project.
  15. PolicyPortfolios::consensus.instruments
    Meta-data on Instruments for the dataset of the CONSENSUS research project.
  16. PolicyPortfolios::consensus.targets
    Meta-data on Targets for the dataset of the CONSENSUS research project.