nlme (version 3.1-16)

nlsList.selfStart: nlsList Fit from a selfStart Function

Description

The response variable and primary covariate in formula(data) are used together with model to construct the nonlinear model formula. This is used in the nls calls and, because a selfStarting model function can calculate initial estimates for its parameters from the data, no starting estimates need to be provided.

Usage

## S3 method for class 'selfStart':
nlsList(model, data, start, control, level, subset, na.action, pool)

Arguments

model

a selfStart model function, which calculates initial estimates for the model parameters from data.

data

a data frame in which to interpret the variables in model. Because no grouping factor can be specified in model, data must inherit from class groupedData.

other arguments

identical to the arguments in the generic function call. See the documentation on nlsList.

Value

• a list of nls objects with as many components as the number of groups defined by the grouping factor. A NULL value is assigned to the components corresponding to clusters for which the nls algorithm failed to converge. Generic functions such as coef, fixed.effects, lme, pairs, plot, predict, random.effects, summary, and update have methods that can be applied to an nlsList object.

See Also

selfStart, groupedData, nls, nlme.nlsList, nlsList.formula

Examples

data(CO2)
fm1 <- nlsList(SSasympOff, CO2)
summary(fm1)