multimodel-class {TIMP} | 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
:"list"
of objects of class dat
containing datamodel
:"dat"
of class dat containing a model specification to be
applied to all datasetsmodellist
:"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
:"list"
of per-dataset model differences input as an argument
to the fitModel
functionfit
:"fit"
containing a list of
results per-dataset as well as the output of optimization returned by the
nls
function.groups
:"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
:"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