| multimodel-class | R Documentation | 
multimodel is the class to store data, a generally applicable model, a
list of per-data models, a specification of per-dataset model differences, and 
results for the analysis of possibly many datasets.  After a call to 
fitModel
an object is initialized of the multimodel class. 
after a call to fitModel, an object of class 
multimodel exists in the global environment as the variable 
currModel 
Objects can be created by calls of the form new("multimodel", ...) or 
multimodel(...).
data:Object of class "list"  of objects of class dat containing data
modellist:Object of class "list"  of length n where n is the number of datasets given in
data, and each element i is an object of class dat giving 
the dataset-specific model applicable to data[[i]]
modeldiffs:Object of class "list"  of per-dataset model differences input as an argument 
to the fitModel function
fit:Object of class "fit"  containing a list of
results per-dataset as well as the output of optimization returned by the
nls function.
groups:Object of class "list"  containing a list of
lists of the groups of clp to link across datasets. Each component list 
contains vectors of form (clp condition index, dataset index), and 
such vectors in the same component list are linked between datasets. See
fitModel for more details on the linking possibilities.  
stderrclp:Object of class "logical"  
describing whether standard error estimates on conditionally linear 
parameters should be calculated; this is determined by the opt 
argument of fitModel and defaults to FALSE
Katharine M. Mullen, Ivo H. M. van Stokkum
fitModel 
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