| nlsList.selfStart(nlme) | R Documentation |
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.
nlsList(model, data, start, control, level, na.action, pool)
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.
|
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.
selfStart, groupedData, nls,
nlme.nlsList, nlsList.formula
library(nlme) data(CO2) fm1 <- nlsList(SSasympOff, CO2) fm1