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BoomSpikeSlab (version 0.5.3)

MCMC for Spike and Slab Regression

Description

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

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Version

Install

install.packages('BoomSpikeSlab')

Monthly Downloads

2,233

Version

0.5.3

License

LGPL-2.1 | file LICENSE

Maintainer

Steven Scott

Last Published

March 15th, 2016

Functions in BoomSpikeSlab (0.5.3)

independent.student.spike.slab.prior

Spike and Slab Prior for Regressions with Student T Errors

spike.slab.glm.prior

Zellner Prior for Glm's

plot.logit.spike.residuals

Residual plot for logit.spike objects.

model.matrix

GetPredictorMatrix

logit.spike

Spike and slab logistic regression

mlm.spike.slab.prior

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

plot.lm.spike

Plot the results of a spike and slab regression.

print.summary.lm.spike

Print method for spikeslab objects.

lm.spike

Spike and slab regression

predict.lm.spike

Predictions using spike-and-slab regression.

summary.logit.spike

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

summary.lm.spike

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

logit.zellner.prior

Zellner Prior for Logistic Regression

spike.slab.prior.base

Base class for spike and slab priors

PlotModelSize

Plot a distribution of model size

plot.marginal.inclusion.probabilities

Plot marginal inclusion probabilities.

plot.logit.spike

Plot a logit.spike object

plot.poisson.spike

Plot a poisson.spike object

independent.spike.slab.prior

A spike and slab prior assuming a priori independence.

student.spike.slab.prior

Spike and Slab Prior for Student-T Regression

SummarizeSpikeSlabCoefficients

Numerical summaries of coefficients from a spike and slab regression.

mlm.spike

Spike and slab multinomial logistic regression

make.spike.slab.prior

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

poisson.spike

Spike and slab Poisson regression

poisson.zellner.prior

Zellner Prior for Poisson Regression

plot.logit.spike.fit.summary

Fit summary for logit.spike models