Predict function for BASS. Outputs the posterior predictive samples based on the specified MCMC iterations.
# S3 method for bassBasis
predict(
object,
newdata,
mcmc.use = NULL,
trunc.error = FALSE,
nugget = T,
n.cores = 1,
parType = "fork",
...
)An array with first dimension corresponding to MCMC iteration, second dimension corresponding to the rows of newdata, and third dimension corresponding to the multivariate/functional response.
a fitted model, output from the bass function.
a matrix of new input values at which to predict. The columns should correspond to the same variables used in the bassBasis or bassPCA functions.
a vector indexing which MCMC iterations to use for prediction.
logical, use basis truncation error when predicting?
logical, use individual bass nugget variances when predicting?
number of cores, though 1 is often the fastest.
either "fork" or "socket". Forking is typically faster, but not compatible with Windows. If n.cores==1, parType is ignored.
further arguments passed to or from other methods.
Prediction combined across bass models.
bassPCA and bassBasis for model fitting and sobolBasis for sensitivity analysis.
# See examples in bass documentation.
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