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 self-starting model function can calculate initial estimates for its parameters from the data, no starting estimates need to be provided.

USAGE:

nlsList(model, data, start, control, level, na.action, pool) 

REQUIRED 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.

OPTIONAL ARGUMENTS:

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:

, , , ,

EXAMPLES:

fm1 <- nlsList(SSlogis, Soybean)