⚠️There's a newer version (1.2.6) of this package.Take me there.

BoomSpikeSlab (version 0.5.1)

MCMC for spike and slab regression

Description

Spike and slab regression a la McCulloch and George (1997).

Copy Link

Version

Install

install.packages('BoomSpikeSlab')

Monthly Downloads

2,233

Version

0.5.1

License

LGPL-2.1 | file LICENSE

Maintainer

Steven Scott

Last Published

December 3rd, 2014

Functions in BoomSpikeSlab (0.5.1)

plot.logit.spike.fit.summary

Fit summary for logit.spike models

mlm.spike

Spike and slab multinomial logistic regression

make.spike.slab.prior

Create a spike and slab prior for use with lm.spike.

lm.spike

Spike and slab regression

plot.lm.spike

Plot the results of a spike and slab regression.

logit.spike

Spike and slab logistic regression

SummarizeSpikeSlabCoefficients

Numerical summaries of coefficients from a spike and slab regression.

print.summary.lm.spike

Print method for spikeslab objects.

predict.lm.spike

Predictions using spike-and-slab regression.

plot.logit.spike.residuals

Residual plot for logit.spike objects.

spike.slab.prior.base

Base class for spike and slab priors

summary.logit.spike

Numerical summaries of the results from a spike and slab logistic regression.

plot.logit.spike

Plot a logit.spike object.

summary.lm.spike

Numerical summaries of the results from a spike and slab regression.

independent.spike.slab.prior

A spike and slab prior assuming a priori independence.

PlotModelSize

Plot a distribution of model size

poisson.spike

Spike and slab Poisson regression

plot.marginal.inclusion.probabilities

Plot marginal inclusion probabilities.

mlm.spike.slab.prior

Create a spike and slab prior for use with mlm.spike.