multimodel-class function

Class "multimodel" for storage of multidataset models, data and the results of fitting.

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. class

Objects from the Class

Objects can be created by calls of the form new("multimodel", ...) or multimodel(...).

Slots

• 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`
  

• algorithm:

• datasetind:

• finished:

• getXsuper:

• modelspec:

• nclp:

• nnls:

• nnlscrit:

• optlist:

• parorder:

• parorderchange:

• parorderdiff:

• trilinear:

Details

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

See Also

fitModel

Author(s)

Katharine M. Mullen, Ivo H. M. van Stokkum