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. |