nlme: predict.gnls – R documentation

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predict.gnls

Predictions from a gnls Object

Description

The predictions for the nonlinear model represented by object are obtained at the covariate values defined in newdata.

Usage

## S3 method for class 'gnls'
predict(object, newdata, na.action, naPattern, ...)

Arguments

`object`	an object inheriting from class `"gnls"`, representing a generalized nonlinear least squares fitted model.
`newdata`	an optional data frame to be used for obtaining the predictions. All variables used in the nonlinear model must be present in the data frame. If missing, the fitted values are returned.
`na.action`	a function that indicates what should happen when `newdata` contains `NA`s. The default action (`na.fail`) causes the function to print an error message and terminate if there are any incomplete observations.
`naPattern`	an expression or formula object, specifying which returned values are to be regarded as missing.
`...`	some methods for this generic require additional arguments. None are used in this method.

Value

a vector with the predicted values.

Author(s)

José Pinheiro and Douglas Bates bates@stat.wisc.edu

Examples

fm1 <- gnls(weight ~ SSlogis(Time, Asym, xmid, scal), Soybean,
            weights = varPower())
newSoybean <- data.frame(Time = c(10,30,50,80,100))
predict(fm1, newSoybean)

nlme

Linear and Nonlinear Mixed Effects Models

v3.1-152

GPL (>= 2) | file LICENCE

Authors

José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), Johannes Ranke [ctb] (varConstProp()), R-core [aut, cre]

Initial release

2021-02-03