Man pages for BoomSpikeSlab
MCMC for Spike and Slab Regression
| independent.spike.slab.prior | A spike and slab prior assuming a priori independence. |
| independent.student.spike.slab.prior | Spike and Slab Prior for Regressions with Student T Errors |
| lm.spike | Spike and slab regression |
| logit.spike | Spike and slab logistic regression |
| logit.zellner.prior | Zellner Prior for Logistic Regression |
| mlm.spike | Spike and slab multinomial logistic regression |
| mlm.spike.slab.prior | Create a spike and slab prior for use with mlm.spike. |
| model.matrix | GetPredictorMatrix |
| model.matrix.glm.spike | Construct Design Matrices |
| nested.regression | Nested Regression |
| nnet | Bayesian Feed Forward Neural Networks |
| partial.dependence.plot | Plot a Bayesian Neural Network |
| plot.BayesNnet | Plot a Bayesian Neural Network |
| plot.coefficients | Plot Coefficients. |
| plot.lm.spike | Plot the results of a spike and slab regression. |
| plot.lm.spike.fit | Predicted vs actual plot for lm.spike. |
| plot.lm.spike.residuals | Residual plot for lm.spike |
| plot.logit.spike | Plot a 'logit.spike' object |
| plot.logit.spike.fit.summary | Plot Logit or Probit Fit Summary |
| plot.logit.spike.residuals | Residual plot for 'logit.spike' objects. |
| plot.marginal.inclusion.probabilities | Plot marginal inclusion probabilities. |
| plot.model.size | Plot a distribution of model size |
| 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 |
| poisson.zellner.prior | Zellner Prior for 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 |
| shrinkage.regression | Shrinking Regression Coefficients |
| spike.slab.glm.prior | Zellner Prior for Glm's. |
| spike.slab.prior | Create a spike and slab prior for use with lm.spike. |
| spike.slab.prior.base | Base class for spike and slab priors |
| splines | Spline Basis Expansions |
| student.spike.slab.prior | Spike and Slab Prior for Student-T Regression |
| suggest.burn | Suggest Burn-in |
| summarize_spike_slab_coefficients | Numerical summaries of coefficients from a spike and slab... |
| summary.lm.spike | Numerical summaries of the results from a spike and slab... |
| summary.logit.spike | Numerical summaries of the results from a spike and slab... |
