Predicting from Emax regression models

Usage

# S3 method for class 'emaxnls'
predict(
  object,
  newdata = NULL,
  se.fit = FALSE,
  interval = "none",
  level = 0.95,
  ...
)

Arguments

object: An emaxnls object
newdata: A named list or data frame in which to look for variables with which to predict. If newdata is missing the fitted values at the original data points are returned.
se.fit: A switch indicating if standard errors are required.
interval: A character string indicating if prediction intervals or a confidence interval on the mean responses are to be calculated. Can be "none", "confidence", or "prediction"
level: A numeric scalar between 0 and 1 giving the confidence level for the intervals (if any) to be calculated.
...: Ignored

Value

The return value differs slightly depending on inputs. When se.fit = FALSE, it produces a vector or matrix of predictions with column names fit, lwr and upr if the interval argument is set. When se.fit = TRUE, it returns a list with the following components:

fit: vector or matrix as above
se.fit: standard error of the predicted means
residual.scale: residual standard deviation
df: residual degrees of freedom