predict.unitModalReg: Prediction Method for 'unitModalReg' Objects

In AndrMenezes/unitModalReg: Unit Modal Parametric Regression Models

Description

Extract various types of predictions from fitted models objects of class unitModalReg.

Usage

## S3 method for class 'unitModalReg'
predict(
  object,
  newdata = NULL,
  type,
  interval = FALSE,
  level = 0.95,
  se.fit = FALSE,
  ...
)

Arguments

object	fitted model object of class unitModalReg.
newdata	optionally, a data frame in which to look for variables with which to predict. If omitted, the original observations are used.
type	the type of prediction required. The default is on the scale of the response variable. The "terms" option returns a matrix giving the fitted values of each term in the model formula on the linear predictor scale.
interval	type of interval desired. The options are none and confidence.
level	coverage probability for the confidence intervals. Default is 0.95.
se.fit	logical. If TRUE return the asymptotic standard errors.
...	currently not used.

Author(s)

André F. B. Menezes [e-mail]

AndrMenezes/unitModalReg documentation built on March 12, 2021, 5:24 a.m.