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)
selfStart
model function, which calculates
initial estimates for the model parameters from data
.model
. Because no grouping factor can be specified in
model
, data
must inherit from class
groupedData
.nlsList
.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
data(CO2)
fm1 <- nlsList(SSasympOff, CO2)
summary(fm1)
Run the code above in your browser using DataLab