predict.dalmatian: Prediction method for dalmatian objects

In dalmatian: Automating the Fitting of Double Linear Mixed Models in 'JAGS' and 'nimble'

Description

Prediction method for dalmatian objects

Usage

## S3 method for class 'dalmatian'
predict(
  object,
  newdata = object$df,
  method = "mean",
  population = FALSE,
  se = TRUE,
  ci = TRUE,
  type = c("link", "response"),
  level = c(0.5, 0.95),
  ...
)

Arguments

object	Object of class dalmatian created by dalmatian().
newdata	data frame containing predictor values to predict response variables. Defaults to data in object if not supplied. (data.frame)
method	Method to construct the fitted model. Either posterior mean ("mean") or posterior mode ("mode") (character)
population	If TRUE then generate predictions at the population level rather than the individual level. (logical)
se	if TRUE return the posterior standard deviation (logical)
ci	returning credible intervals for predictions if TRUE (logical)
type	The type of prediction required (as in predict() for models generated by glm()). The default is on the scale of the linear predictors; the alternative "response" is on the scale of the response variable. E.g., if the link between the mean and its linear predictor is the logit function then the default prediction for the mean will be on the scale of the log-odds. If the link between the mean and its linear predictor is the log function then the defaults prediction will be on the scale of the log.
level	vector of levels of credible intervals for predictions (numeric)
...	Ignored

Value

predictions (list)

dalmatian documentation built on Nov. 23, 2021, 1:08 a.m.