| predict.mvrm {BNSP} | R Documentation |
Model predictions
Description
Provides predictions and posterior credible/prediction intervals for given feature vectors.
Usage
## S3 method for class 'mvrm'
predict(object, newdata, interval = c("none", "credible", "prediction"),
level = 0.95, ind.preds=FALSE, ...)
Arguments
object |
an object of class "mvrm", usually a result of a call to |
newdata |
data frame of feature vectors to obtain predictions for. If newdata is missing, the function will use the feature vectors in the data frame used to fit the mvrm object. |
interval |
type of interval calculation. |
level |
the level of the credible interval. |
ind.preds |
Binary indicator. If set to TRUE the function returns additionally the predictions per individual MCMC sample. |
... |
other arguments. |
Details
The function returns predictions of new responses or the means of the responses for given feature vectors. Predictions for new responses or the means of new responses are the same. However, the two differ in the associated level of uncertainty: response predictions are associated with wider (prediction) intervals than mean response predictions. To obtain prediction intervals (for new responses) the function samples from the normal distributions with means and variances as sampled during the MCMC run.
Value
Predictions for given covariate/feature vectors.
Author(s)
Georgios Papageorgiou gpapageo@gmail.com
See Also
Examples
#see \code{mvrm} example