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- 1.ggmcmc::radonSimulations of the parameters of a hierarchical model
- 2.ggmcmc::sSimulations of the parameters of a simple linear regression with fake data.
- 3.ggmcmc::sSimulations of the parameters of a simple linear regression with fake data.
- 4.ggmcmc::s.binarySimulations of the parameters of a simple linear regression with fake data.
- 5.ggmcmc::s.binarySimulations of the parameters of a simple linear regression with fake data.
- 6.ggmcmc::s.y.repSimulations of the posterior predictive distribution of a simple linear regression with fake data.
- 7.ggmcmc::s.y.repSimulations of the posterior predictive distribution of a simple linear regression with fake data.
- 8.ggmcmc::yValues for the observed outcome of a simple linear regression with fake data.
- 9.ggmcmc::yValues for the observed outcome of a simple linear regression with fake data.
- 10.ggmcmc::y.binaryValues for the observed outcome of a binary logistic regression with fake data.
- 11.ggmcmc::y.binaryValues for the observed outcome of a binary logistic regression with fake data.
- 12.PolicyPortfolios::consensusPolicy portfolios for the dataset of the CONSENSUS research project.
- 13.PolicyPortfolios::consensus.instrumentsMeta-data on Instruments for the dataset of the CONSENSUS research project.
- 14.PolicyPortfolios::consensus.targetsMeta-data on Targets for the dataset of the CONSENSUS research project.
- 15.PolicyPortfolios::P.educationSimulated policy portfolio with fake data for the education sector.
- 16.PolicyPortfolios::P.energySimulated policy portfolio with fake data for the energy sector.