Data Analysis Using Regression and Multilevel/Hierarchical Models

balance | Functions to compute the balance statistics |

bayesglm | Bayesian generalized linear models. |

bayespolr | Bayesian Ordered Logistic or Probit Regression |

binnedplot | Binned Residual Plot |

coefplot | Generic Function for Making Coefficient Plot |

contrasts.bayes | Contrast Matrices |

corrplot | Correlation Plot |

discrete.histogram | Histogram for Discrete Distributions |

display | Functions for Processing lm, glm, mer, polr and svyglm Output |

extractDIC.mer | Extract AIC and DIC from a 'mer' model |

fround | Formating the Rounding of Numbers |

go | Function to Recall Last Source File |

invlogit | Logistic and Inverse logistic functions |

lalonde | Lalonde Dataset |

matching | Single Nearest Neighborhood Matching |

mcsamp | Generic Function to Run 'mcmcsamp()' in lme4 |

model.matrixBayes | Construct Design Matrices |

multicomp.plot | Multiple Comparison Plot |

readColumns | Function to read data by columns |

rescale | Function for Standardizing by Centering and Dividing by 2... |

residual.plot | residual plot for the observed values |

se.coef | Extract Standard Errors of Model Coefficients |

sigma.hat | Extract Residual Errors |

sim | Functions to Get Posterior Distributions |

standardize | Function for Standardizing Regression Predictors by Centering... |

traceplot | Trace plot of 'bugs' object |

triangleplot | Triangle Plot |

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