# MCMC for Spike and Slab Regression

## Documentation for package ‘BoomSpikeSlab’ version 0.5.2

- DESCRIPTION file.

## Help Pages

IndependentSpikeSlabPrior | A spike and slab prior assuming a priori independence.
lm.spike | Spike and slab regression
logit.spike | Spike and slab logistic regression
mlm.spike | Spike and slab multinomial logistic regression
MultinomialLogitSpikeSlabPrior | Create a spike and slab prior for use with mlm.spike.
plot.lm.spike | Plot the results of a spike and slab regression.
plot.logit.spike | Plot a 'logit.spike' object.
PlotLogitSpikeFitSummary | Fit summary for logit.spike models
PlotLogitSpikeResiduals | Residual plot for 'logit.spike' objects.
PlotMarginalInclusionProbabilities | Plot marginal inclusion probabilities.
PlotModelSize | Plot a distribution of model size
poisson.spike | Spike and slab Poisson 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.
print.summary.lm.spike | Print method for spikeslab objects.
print.summary.logit.spike | Print method for spikeslab objects.
spikeslab | Spike and slab regression
SpikeSlabPrior | Create a spike and slab prior for use with lm.spike.
SpikeSlabPriorBase | Base class for spike and slab priors
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.