predict.lmodel2: Model Predictions

In ggpmisc: Miscellaneous Extensions to 'ggplot2'

Model Predictions

Description

predict is a generic function for predictions from the results of various model fitting functions. predict.lmodel2 is the method for model fit objects of class "lmodel2".

Usage

## S3 method for class 'lmodel2'
predict(
  object,
  method = "MA",
  newdata = NULL,
  interval = c("none", "confidence"),
  level = 0.95,
  ...
)

Arguments

object	a fitted model object.
method	character One of the methods available in object.
newdata	An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.
interval	Type of interval calculation.
level	the confidence level required. Currently only 0.95 accepted.
...	ignored by this method.

Details

Function lmodel2() from package 'lmodel2' returns a fitted model object of class "lmodel2" which differs from that returned by lm(). Here we implement a predict() method for objects of this class. It differs from the generic method and that for lm objects in having an additional formal parameter method that must be used to select which of the methods supported by lmodel2() are to be used in the prediction. The returned object is similar in its structure to that returned by predict.lm() but lacking names or rownames.

Value

If interval = "none" a numeric vector is returned, while if interval = "confidence" a data frame with columns fit, lwr and upr is returned.

See Also

lmodel2

ggpmisc documentation built on Nov. 16, 2023, 5:10 p.m.