Implementation of common Bayesian models

factor_analysis | Runs gibbs sampler for a factor model. |

factor_analysis_with_regression | Runs gibbs sampler for a factor model with regression on the... |

factor_infinite | Runs gibbs sampler for a factor model with potentially... |

gibbs | Gibbs Sampler Skeleton |

horseshoe_regression | Gibbs Sampler for Horseshoe Regression |

hpdAlong | hpdAlong |

mat_apply | mat apply |

meanAlong | meanAlong |

metropolis | Metropolis MCMC |

plackett_luce | Gibbs Sampler for posterior plackett luce parameters |

probit_horseshoe_regression | Gibbs Sampler for Probit Regression with Horseshoe Prior |

probit_regression | Gibbs Sampler for Probit Regression |

rdirichlet | Generate from a dirichlet distribution |

ridge_regression | Gibbs Sampler for Ridge Regression |

rnorm_cork | Sample from multivariate normal distribution with potential... |

rnorm_qinv_l | Sample from multivariate normal distribution |

rnorm_qinv_l_chol | Sample from multivariate normal distribution |

rnorm_qinv_l_eigen | Sample from multivariate normal distribution given symmetric... |

rplackett_luce | Generate random permutations from a plackett luce... |

rpost_regression_coef | Generate posterior for regression coefecients |

rstnorm_ineq_cork | Sample from multivariate standard normal distribution with... |

s525-package | Implementation of common Bayesian models |

shrinkage_regression_plot | Plot the MC chain of regression coeffecients compared to OLS. |

sumAlong | sumAlong |

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