predict.explore function

Model Predictions for explore Objects

Model Predictions for explore Objects

## 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

# data Y <- ptsd # fit model fit <- explore(Y, iter = 250, progress = FALSE) # predict pred <- predict(fit, progress = FALSE)
  • Maintainer: Philippe Rast
  • License: GPL-2
  • Last published: 2024-12-22