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.
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.