BayesNnet               Bayesian Feed Forward Neural Networks
BsplineBasis            Spline Basis Expansions
GetPredictorMatrix      GetPredictorMatrix
IndependentSpikeSlabPrior
                        A spike and slab prior assuming a priori
                        independence.
LogitZellnerPrior       Zellner Prior for Logistic Regression
MultinomialLogitSpikeSlabPrior
                        Create a spike and slab prior for use with
                        mlm.spike.
NestedRegression        Nested Regression
PartialDependencePlot   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
PoissonZellnerPrior     Zellner Prior for Poisson Regression
ShrinkageRegression     Shrinking Regression Coefficients
SpikeSlabGlmPrior       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
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.
lm.spike                Spike and slab regression
logit.spike             Spike and slab logistic regression
mlm.spike               Spike and slab multinomial logistic regression
model.matrix.glm.spike
                        Construct Design Matrices
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.qreg.spike         Plot the results of a spike and slab
                        regression.
poisson.spike           Spike and slab Poisson regression
predict.lm.spike        Predictions using spike-and-slab regression.
print.summary.lm.spike
                        Print method for spikeslab objects.
probit.spike            Spike and slab probit regression
qreg.spike              Quantile Regression
residuals.lm.spike      Extract lm.spike Residuals
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.
