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