MCMC for Spike and Slab Regression

---

Documentation for package ‘BoomSpikeSlab’ version 1.2.5

• DESCRIPTION file.

Help Pages

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.