## S3 method for class 'explore'predict( object, newdata =NULL, summary =TRUE, cred =0.95, iter =NULL, progress =TRUE,...)
Arguments
object: object of class explore
newdata: an optional data frame for obtaining predictions (e.g., on test data)
summary: summarize the posterior samples (defaults to TRUE).
cred: credible interval used for summarizing
iter: number of posterior samples (defaults to all in the object).
progress: Logical. Should a progress bar be included (defaults to TRUE) ?
...: currently ignored
Returns
summary = TRUE: 3D array of dimensions n (observations), 4 (posterior summary), p (number of nodes). summary = FALSE: list containing predictions for each variable
Examples
# dataY <- ptsd
# fit modelfit <- explore(Y, iter =250, progress =FALSE)# predictpred <- predict(fit, progress =FALSE)