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BoomSpikeSlab (version 0.5.1)
MCMC for spike and slab regression
Description
Spike and slab regression a la McCulloch and George (1997).
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Install
install.packages('BoomSpikeSlab')
Monthly Downloads
10,739
Version
0.5.1
License
LGPL-2.1 | file LICENSE
Maintainer
Steven Scott
Last Published
December 3rd, 2014
Functions in BoomSpikeSlab (0.5.1)
Search functions
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.