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.
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
after a call to fitModel
, an object of class
multimodel
exists in the global environment as the variable
currModel
fitModel