plot.logit.spike: Plot a `logit.spike` object

Description

Plot a logit.spike object. The default plot is a barplot of the marginal inclusion probabilities for each variable, as obtained by PlotMarginalInclusionProbabilities. See below for other types of plots.

Usage

# S3 method for logit.spike
plot(x,
     y = c("inclusion", "coefficients", "scaled.coefficients", "fit",
           "residuals", "size", "help"),
     burn = SuggestBurnLogLikelihood(x$log.likelihood),
     ...)
  # S3 method for probit.spike
plot(x,
     y = c("inclusion", "coefficients", "scaled.coefficients", "fit",
           "residuals", "size", "help"),
     burn = SuggestBurnLogLikelihood(x$log.likelihood),
     ...)

Arguments

x: An object of class logit.spike.
y: The type of plot desired.
burn: The number of MCMC iterations to discard as burn-in.
...: Additional arguments passed to the specific functions that do the plotting.

Author

Steven L. Scott

Details

The default plot is a barplot showing the marginal inclusion probabilities of the coefficients, constructed using PlotMarginalInclusionProbabilities.

The plot of the fit summary is handled by PlotLogitSpikeFitSummary.

The plot of the residuals is handled by PlotLogitSpikeResiduals.

The plot of model size is handled by PlotModelSize.

Examples

Run this code

## See the examples in ?logit.spike