BGGM (version 2.1.5)

predict.estimate: Model Predictions for estimate Objects

Description

Model Predictions for estimate Objects

Usage

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

Value

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

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

Examples

# \donttest{
# # data
Y <- ptsd

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

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