suggest.burn: Suggest Burn-in
In BoomSpikeSlab: MCMC for Spike and Slab Regression
suggest.burn R Documentation
Suggest Burn-in
Description
Suggest a burn-in period for a Bayesian neural network model.
Usage
SuggestBurn(model)
Arguments
model
An object inheriting from class BayesNnet.
Details
See SuggestBurnLogLikelihood for details of the on how
the burn-in period is suggested. In this case the negative the
residual standard deviation is used as a proxy for log likelihood.
Value
A non-negative integer less than the number of MCMC draws.
Author(s)
Steven L. Scott
See Also
SuggestBurnLogLikelihood
BoomSpikeSlab documentation built on May 29, 2024, 5:07 a.m.
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| suggest.burn | R Documentation |
Suggest Burn-in
Description
Suggest a burn-in period for a Bayesian neural network model.
Usage
SuggestBurn(model)
Arguments
model |
An object inheriting from class |
Details
See SuggestBurnLogLikelihood for details of the on how
the burn-in period is suggested. In this case the negative the
residual standard deviation is used as a proxy for log likelihood.
Value
A non-negative integer less than the number of MCMC draws.
Author(s)
Steven L. Scott
See Also
SuggestBurnLogLikelihood
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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