midr (version 0.5.0)

predict.mid: Predict Method for fitted MID Models

Description

The method of predict() for "mid" objects obtains predictions from a fitted MID model.

Usage

# S3 method for mid
predict(
  object,
  newdata = NULL,
  na.action = "na.pass",
  type = c("response", "link", "terms"),
  terms = object$terms,
  ...
)
mid.f(object, term, x, y = NULL)

Value

predict.mid() returns a numeric vector of MID model predictions.

Arguments

object

a "mid" object to be used to make predictions.

newdata

a data frame of the new observations.

na.action

a function or character string specifying what should happen when the data contain NAs.

type

the type of prediction required. The default is on the scale of the response varialbe. The alternative "link" is on the scale of the linear predictors. The "terms" option returns a matrix giving the fitted values of each term in the model formula on the linear predictor scale.

terms

a character vector of term labels, specifying a subset of component functions to be used to make predictions.

...

not used.

term

a character string specifying the component function of a fitted MID model.

x

a matrix, data frame or vector to be used as the input to the first argument of the component function. If a matrix or data frame is passed, inputs for both x and y are extracted from it.

y

a vector to be used as the input to the second argument of the component function.

Details

The S3 method of predict() for MID models returns the model predictions. mid.f() works as a component function of a MID model.

Examples

data(trees, package = "datasets")
idx <- c(5L, 10L, 15L, 20L, 25L, 30L)
mid <- interpret(Volume ~ .^2, trees[-idx,], lambda = 1)
trees[idx, "Volume"]
predict(mid, trees[idx,])
predict(mid, trees[idx,], type = "terms")
mid.f(mid, "Girth", trees[idx,])
mid.f(mid, "Girth:Height", trees[idx,])
predict(mid, trees[idx,], terms = c("Girth", "Height"))