profiler.nls {stats} | R Documentation |
Create a profiler object for the model object fitted
of class
nls
.
## S3 method for class 'nls': profiler(fitted, ...)
fitted |
the original fitted model object of class
nls . |
... |
Additional parameters. None are used. |
An object of class profiler.nls
which is a list with function
elements
getFittedModel() |
the nlsModel object corresponding to fitted
|
getFittedPars() |
See documentation for profiler
|
setDefault(varying, params) |
See documentation for profiler
|
getProfile(varying, params) |
In the returned list, fstat is the ratio of change in
sum-of-squares and the residual standard error.
For other details, see documentation for profiler
|
When using setDefault and getProfile together, the internal state of
the fitted model may get changed. So after completing the profiling
for a parameter, the internal states should be restored by a call to
setDefault without any arguments. For example see below or the source
for profile.nls
.
Douglas M. Bates and Saikat DebRoy
Bates, D.M. and Watts, D.G. (1988), Nonlinear Regression Analysis and Its Applications, Wiley
nls
,
nlsModel
,
profiler
,
profile.nls
## obtain the fitted object fm1 <- nls(demand ~ SSasympOrig( Time, A, lrc ), data = BOD) ## get the profile for the fitted model prof1 <- profiler( fm1 ) ## profile with A fixed at 16.0 prof1$getProfile(c(FALSE, TRUE), 16.0) ## vary lrc prof1$setDefault(varying = c(FALSE, TRUE)) ## fix A at 14.0 and starting estimate of lrc at -0.2 prof1$setDefault(params = c(14.0, -0.2)) ## and get the profile prof1$getProfile() ## finally, set defaults back to original estimates prof1$setDefault()