bsts.options.Rd  R Documentation 
Rarely used modeling options for bsts models.
BstsOptions(save.state.contributions = TRUE, save.prediction.errors = TRUE, bma.method = c("SSVS", "ODA"), oda.options = list( fallback.probability = 0.0, eigenvalue.fudge.factor = 0.01), timeout.seconds = Inf, save.full.state = FALSE)
save.state.contributions 
Logical. If 
save.prediction.errors 
Logical. If 
bma.method 
If the model contains a regression component, this argument specifies the method to use for Bayesian model averaging. "SSVS" is stochastic search variable selection, which is the classic approach from George and McCulloch (1997). "ODA" is orthoganal data augmentation, from Ghosh and Clyde (2011). It adds a set of latent observations that make the X'X matrix diagonal, vastly simplifying complete data MCMC for model selection. 
oda.options 
If bma.method == "ODA" then these are some options for fine tuning the ODA algorithm.

timeout.seconds 
The number of seconds that sampler will be allowed to run. If the timeout is exceeded the returned object will be truncated to the final draw that took place before the timeout occurred, as if that had been the requested number of iterations. 
save.full.state 
Logical. If 
The arguments are checked to make sure they have legal types and values, then a list is returned containing the arguments.
Steven L. Scott steve.the.bayesian@gmail.com
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