Model Predictions for estimate Objects

Model Predictions for estimate Objects

# S3 method for estimate
predict(
  object,
  newdata = NULL,
  summary = TRUE,
  cred = 0.95,
  iter = NULL,
  progress = TRUE,
  ...
)

Arguments

object	object of class estimate
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

Value

summary = TRUE: 3D array of dimensions n (observations), 4 (posterior summary), p (number of nodes). summary = FALSE: list containing predictions for each variable

Examples

# \donttest{
# # data
Y <- ptsd

fit <- estimate(Y, iter = 250,
                progress = FALSE)

pred <- predict(fit,
                progress = FALSE)
# }