predict.explore: Model Predictions for 'explore' Objects

In BGGM: Bayesian Gaussian Graphical Models

Model Predictions for explore Objects

Description

Model Predictions for explore Objects

Usage

## 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

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

# data
Y <- ptsd

# fit model
fit <- explore(Y, iter = 250,
               progress = FALSE)

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

BGGM documentation built on Sept. 11, 2024, 5:19 p.m.