BayesNnet | Bayesian Feed Forward Neural Networks |

BsplineBasis | Spline Basis Expansions |

CoefficientGroup | Shrinking Regression Coefficients |

ConditionalZellnerPrior | Create a spike and slab prior for use with lm.spike. |

GetPredictorMatrix | GetPredictorMatrix |

HiddenLayer | Bayesian Feed Forward Neural Networks |

IndependentSpikeSlabPrior | A spike and slab prior assuming a priori independence. |

IsplineBasis | Spline Basis Expansions |

knots | Spline Basis Expansions |

knots.SplineBasis | Spline Basis Expansions |

lm.spike | Spike and slab regression |

logit.spike | Spike and slab logistic regression |

LogitPrior | Zellner Prior for Logistic Regression |

LogitZellnerPrior | Zellner Prior for Logistic Regression |

mlm.spike | Spike and slab multinomial logistic regression |

model.matrix.glm.spike | Construct Design Matrices |

MsplineBasis | Spline Basis Expansions |

MultinomialLogitSpikeSlabPrior | Create a spike and slab prior for use with mlm.spike. |

NestedRegression | Nested Regression |

OdaOptions | Spike and slab regression |

PartialDependencePlot | Plot a Bayesian Neural Network |

plot.BayesNnet | Plot a Bayesian Neural Network |

plot.lm.spike | Plot the results of a spike and slab regression. |

plot.logit.spike | Plot a 'logit.spike' object |

plot.poisson.spike | Plot a 'poisson.spike' object |

plot.probit.spike | Plot a 'logit.spike' object |

plot.qreg.spike | Plot the results of a spike and slab regression. |

PlotBayesNnetPredictions | Plot a Bayesian Neural Network |

PlotBayesNnetResiduals | Plot a Bayesian Neural Network |

PlotLmSpikeCoefficients | Plot Coefficients. |

PlotLmSpikeFit | Predicted vs actual plot for lm.spike. |

PlotLmSpikeResiduals | Residual plot for lm.spike |

PlotLogitSpikeFitSummary | Plot Logit or Probit Fit Summary |

PlotLogitSpikeResiduals | Residual plot for 'logit.spike' objects. |

PlotMarginalInclusionProbabilities | Plot marginal inclusion probabilities. |

PlotModelSize | Plot a distribution of model size |

PlotNetworkStructure | Plot a Bayesian Neural Network |

PlotProbitSpikeFitSummary | Plot Logit or Probit Fit Summary |

PlotProbitSpikeResiduals | Residual plot for 'logit.spike' objects. |

poisson.spike | Spike and slab Poisson regression |

PoissonZellnerPrior | Zellner Prior for Poisson Regression |

predict.BayesNnet | Predictions using spike-and-slab regression. |

predict.lm.spike | Predictions using spike-and-slab regression. |

predict.logit.spike | Predictions using spike-and-slab regression. |

predict.poisson.spike | Predictions using spike-and-slab regression. |

predict.probit.spike | Predictions using spike-and-slab regression. |

predict.qreg.spike | Predictions using spike-and-slab regression. |

print.summary.lm.spike | Print method for spikeslab objects. |

print.summary.logit.spike | Print method for spikeslab objects. |

probit.spike | Spike and slab probit regression |

qreg.spike | Quantile Regression |

residuals.lm.spike | Extract lm.spike Residuals |

ShrinkageRegression | Shrinking Regression Coefficients |

spikeslab | Spike and slab regression |

SpikeSlabGlmPrior | Zellner Prior for Glm's. |

SpikeSlabGlmPriorDirect | Zellner Prior for Glm's. |

SpikeSlabPrior | Create a spike and slab prior for use with lm.spike. |

SpikeSlabPriorBase | Base class for spike and slab priors |

SpikeSlabPriorDirect | Create a spike and slab prior for use with lm.spike. |

SsvsOptions | Spike and slab regression |

StudentIndependentSpikeSlabPrior | Spike and Slab Prior for Regressions with Student T Errors |

StudentSpikeSlabPrior | Spike and Slab Prior for Student-T Regression |

SuggestBurn | Suggest Burn-in |

SummarizeSpikeSlabCoefficients | Numerical summaries of coefficients from a spike and slab regression. |

summary.lm.spike | Numerical summaries of the results from a spike and slab regression. |

summary.logit.spike | Numerical summaries of the results from a spike and slab logistic regression. |

summary.probit.spike | Numerical summaries of the results from a spike and slab logistic regression. |