plot.lm.spike.fit: Predicted vs actual plot for lm.spike.

In BoomSpikeSlab: MCMC for Spike and Slab Regression

Predicted vs actual plot for lm.spike.

Description

Plot actual values vs. predictions in an lm.spike model.

Usage

PlotLmSpikeFit(
    object,
    burn = SuggestBurnLogLikelihood(object$log.likelihood),
    ...)

Arguments

object	A model object inheriting from lm.spike.
burn	The number of MCMC iterations to be discarded as burn-in before computing posterior means.
...	Additional arguments passed to plot.

Details

This plot is normally called via the plot function for lm.spike objects. See the help entry for lm.spike for example usage.

Author(s)

Steven L. Scott

See Also

lm.spike plot.lm.spike

BoomSpikeSlab documentation built on May 28, 2022, 1:11 a.m.