predict.egf {epigrowthfit}

Predicted Values

Description

Computes predicted values of top level nonlinear model parameters. These are conditional on an estimated nonlinear mixed effects model and, optionally, new data.

Usage

## S3 method for class 'egf'
predict(object, newdata = NULL, class = FALSE, se = FALSE, ...)

Arguments

object

an egf object.

newdata

a data frame containing variables to replace those in the model frame. The default is to use the model frame as is, and currently that is the only implemented behaviour.

class

a logical. If TRUE, then the value of the method call call is a predict.egf object, not a matrix.

se

a logical. If TRUE and if class = TRUE, then the result is augmented with approximate delta method standard errors.

...

additional arguments passed from or to other methods.

Value

A numeric matrix containing predicted values.

Users can pass class = TRUE to obtain an augmented result. Thus, alternatively:

A data frame inheriting from class predict.egf, with variables:

top

top level nonlinear model parameter, from egf_top(object).

ts

time series, from levels(model.frame(object)[["ts"]]).

window

fitting window, from levels(model.frame(object)[["window"]]).

value

predicted value.

se

approximate delta method standard error (only if requested).

See Also

The generic function predict.