Predict from hts_inla model

Predict from hts_inla model

# S3 method for hts_inla
predict(
  object,
  newdata = NULL,
  type = c("link", "response", "terms"),
  se.fit = FALSE,
  dispersion = NULL,
  terms = NULL,
  na.action = na.pass,
  ...
)

Arguments

object

a fitted object of class inheriting from hts_model

newdata

optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted linear predictors are used.

type

the type of prediction required. The default is on the scale of the linear predictors; the alternative ‘"response"’ is on the scale of the response variable. Thus for a default binomial model the default predictions are of log-odds (probabilities on logit scale) and ‘type = "response"’ gives the predicted probabilities. The ‘"terms"’ option returns a matrix giving the fitted values of each term in the model formula on the linear predictor scale. The value of this argument can be abbreviated.

se.fit

logical switch indicating if standard errors are required.

dispersion

the dispersion of the GLM fit to be assumed in computing the standard errors. If omitted, that returned by ‘summary’ applied to the object is used.

terms

with ‘type = "terms"’ by default all terms are returned. A character vector specifies which terms are to be returned

na.action

function determining what should be done with missing values in ‘newdata’. The default is to predict ‘NA’.

...further

arguments passed to or from other methods.

Value

Note

currently borrowing parameters + descriptions from predict.glm

Examples

if (FALSE) {
predict(hts_example_model)
}