balance | Functions to compute the balance statistics |

balance-class | Functions to compute the balance statistics |

bayesglm | Bayesian generalized linear models. |

bayesglm-class | Bayesian generalized linear models. |

bayesglm.fit | Bayesian generalized linear models. |

bayespolr | Bayesian Ordered Logistic or Probit Regression |

bayespolr-class | Bayesian Ordered Logistic or Probit Regression |

binned.resids | Binned Residual Plot |

binnedplot | Binned Residual Plot |

coef.sim | Functions to Get Posterior Distributions |

coef.sim.merMod | Functions to Get Posterior Distributions |

coef.sim.polr | Functions to Get Posterior Distributions |

coefplot | Generic Function for Making Coefficient Plot |

coefplot-method | Generic Function for Making Coefficient Plot |

coefplot.default | Generic Function for Making Coefficient Plot |

contr.bayes.ordered | Contrast Matrices |

contr.bayes.unordered | Contrast Matrices |

corrplot | Correlation Plot |

discrete.hist | Histogram for Discrete Distributions |

discrete.histogram | Histogram for Discrete Distributions |

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

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

extractAIC.merMod | Extract AIC and DIC from a 'mer' model |

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

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

fitted.sim.merMod | Functions to Get Posterior Distributions |

fixef.sim.merMod | Functions to Get Posterior Distributions |

fround | Formating the Rounding of Numbers |

G | Function to Recall Last Source File |

go | Function to Recall Last Source File |

GO-class | Function to Recall Last Source File |

invlogit | Logistic and Inverse logistic functions |

lalonde | Lalonde Dataset |

logit | Logistic and Inverse logistic functions |

matching | Single Nearest Neighborhood Matching |

mcplot | Multiple Comparison Plot |

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

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

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

model.matrixBayes | Construct Design Matrices |

multicomp.plot | Multiple Comparison Plot |

pfround | Formating the Rounding of Numbers |

plot.balance | Functions to compute the balance statistics |

predict.bayesglm | Bayesian generalized linear models. |

print-method | Bayesian generalized linear models. |

print-method | Bayesian Ordered Logistic or Probit Regression |

print.balance | Functions to compute the balance statistics |

ranef.sim.merMod | Functions to Get Posterior Distributions |

read.columns | Function to read data by columns |

rescale | Function for Standardizing by Centering and Dividing by 2 sd's |

residual.plot | residual plot for the observed values |

se.coef | Extract Standard Errors of Model Coefficients |

se.coef-method | Extract Standard Errors of Model Coefficients |

se.fixef | Extract Standard Errors of Model Coefficients |

se.ranef | Extract Standard Errors of Model Coefficients |

show-method | Bayesian generalized linear models. |

show-method | Bayesian Ordered Logistic or Probit Regression |

sigma.hat | Extract Residual Errors |

sigma.hat.glm | Extract Residual Errors |

sigma.hat.lm | Extract Residual Errors |

sigma.hat.merMod | Extract Residual Errors |

sigma.hat.sim | Extract Residual Errors |

sigma.hat.sim.merMod | Extract Residual Errors |

sim | Functions to Get Posterior Distributions |

sim-class | Functions to Get Posterior Distributions |

sim-method | Functions to Get Posterior Distributions |

sim.merMod-class | Functions to Get Posterior Distributions |

standardize | Function for Standardizing Regression Predictors by Centering and Dividing by 2 sd's |

standardize-method | Function for Standardizing Regression Predictors by Centering and Dividing by 2 sd's |

traceplot | Trace plot of 'bugs' object |

traceplot-method | Trace plot of 'bugs' object |

traceplot.default | Trace plot of 'bugs' object |

triangleplot | Triangle Plot |