predict.hts_inla: Predict from hts_inla model

In njtierney/yahtsee: Yet Another Hierachical Time Series Extension and Expansion

Description

Predict from hts_inla model

Usage

## S3 method for class '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.

Note

currently borrowing parameters + descriptions from predict.glm

Examples

## Not run: 
predict(hts_example_model)

## End(Not run)

njtierney/yahtsee documentation built on Feb. 5, 2022, 8:25 p.m.