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

In BoomSpikeSlab: MCMC for Spike and Slab Regression

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 class 'logit.spike'
plot(x,
     y = c("inclusion", "coefficients", "scaled.coefficients", "fit",
           "residuals", "size", "help"),
     burn = SuggestBurnLogLikelihood(x$log.likelihood),
     ...)

  ## S3 method for class '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.

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.

Author(s)

Steven L. Scott

See Also

PlotMarginalInclusionProbabilities PlotModelSize PlotLogitSpikeFitSummary PlotLogitSpikeResiduals

Examples

## See the examples in ?logit.spike

BoomSpikeSlab documentation built on May 29, 2024, 5:07 a.m.