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BoomSpikeSlab (version 1.0.0)
MCMC for Spike and Slab Regression
Description
Spike and slab regression a la McCulloch and George (1997).
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Version
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Install
install.packages('BoomSpikeSlab')
Monthly Downloads
5,375
Version
1.0.0
License
LGPL-2.1 | file LICENSE
Maintainer
Steven Scott
Last Published
April 30th, 2018
Functions in BoomSpikeSlab (1.0.0)
Search all functions
plot.logit.spike.fit.summary
Plot Logit or Probit Fit Summary
shrinkage.regression
Shrinking Regression Coefficients
spike.slab.glm.prior
Zellner Prior for Glm's
plot.coefficients
Plot Coefficients.
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.qreg.spike
Plot the results of a spike and slab regression.
student.spike.slab.prior
Spike and Slab Prior for Student-T Regression
poisson.spike
Spike and slab Poisson regression
poisson.zellner.prior
Zellner Prior for Poisson Regression
predict.lm.spike
Predictions using spike-and-slab regression.
probit.spike
Spike and slab probit regression
print.summary.lm.spike
Print method for spikeslab objects.
summary.lm.spike
Numerical summaries of the results from a spike and slab regression.
residuals.lm.spike
Extract lm.spike Residuals
SummarizeSpikeSlabCoefficients
Numerical summaries of coefficients from a spike and slab regression.
qreg.spike
Quantile Regression
logit.zellner.prior
Zellner Prior for Logistic Regression
make.spike.slab.prior
Create a spike and slab prior for use with lm.spike.
mlm.spike.slab.prior
Create a spike and slab prior for use with mlm.spike.
mlm.spike
Spike and slab multinomial logistic regression
independent.spike.slab.prior
A spike and slab prior assuming a priori independence.
model.matrix.glm.spike
Construct Design Matrices
independent.student.spike.slab.prior
Spike and Slab Prior for Regressions with Student T Errors
model.matrix
GetPredictorMatrix
PlotModelSize
Plot a distribution of model size
plot.poisson.spike
Plot a
poisson.spike
object
plot.logit.spike
Plot a
logit.spike
object
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
plot.logit.spike.residuals
Residual plot for
logit.spike
objects.
plot.marginal.inclusion.probabilities
Plot marginal inclusion probabilities.
plot.lm.spike.residuals
Residual plot for lm.spike
nested.regression
Nested Regression