plot.qreg.spike {BoomSpikeSlab} | R Documentation |

## Plot the results of a spike and slab regression.

### Description

The default plot is a barplot of the marginal inclusion probabilities
for each variable, as obtained by
`PlotMarginalInclusionProbabilities`

. Other interesting
plots can be obtained by supplying a string as the second argument.

### Usage

```
## S3 method for class 'qreg.spike'
plot(x,
y = c("inclusion", "coefficients", "scaled.coefficients",
"size", "help"),
burn = SuggestBurnLogLikelihood(x$log.likelihood),
...)
```

### Arguments

`x` |
An object of class |

`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 actual plotting will be handled by
`PlotMarginalInclusionProbabilities`

,
`PlotLmSpikeCoefficients`

, or `PlotModelSize`

.
See the appropriate function for more options.

### Author(s)

Steven L. Scott

### See Also

`PlotMarginalInclusionProbabilities`

`PlotLmSpikeCoefficients`

`PlotModelSize`

`qreg.spike`

`SpikeSlabPrior`

`predict.qreg.spike`

### Examples

```
n <- 50
x <- rnorm(n)
y <- rnorm(n, 4 * x)
model <- qreg.spike(y ~ x,
quantile = .8,
niter = 1000,
expected.model.size = 100)
plot(model)
plot(model, "coef")
plot(model, "coefficients")
plot(model, "scaled.coefficients")
plot(model, "scal")
plot(model, "size")
plot(model, "help")
```

[Package

*BoomSpikeSlab*version 1.2.6 Index]