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| 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. |