Description Slots Methods See Also
Class of object returned by the fusedanova function.
result: a list of objects, one per variable. Objects are lists containing :
table: a dataframe containing the
lambda; Beta, value of coefficient ;
slope; idown the minimal index of class in
the group and iup, the maximum one; for each
fusion time lambda.
order: a vector giving the order of means
before any fuse. Needed with classes for data
conversion to a more understandable format.
weights: the weights used t eprform the fit.
'
classes: the intitulate of the classes
as entered in the class parameter in the
fusedanova function.
prediction: if a lambdalist was
given to the fusedanova function, a list contaning
for each variable an object with the same format as the
ones in result. Else, an empty list.
lambdalist: the lambdalist vector
parameter given in the fusedanova function. If not
given, empty vector.
algorithm: a character string indicating wether splits where allowed or not.
Specific plotting, predict and conversion methods are
available and documented
(plot,fusedanova-method,
predict,fusedanova-method,
dataconvert,fusedanova-method).
See also plot,fusedanova-method,
predict,fusedanova-method
dataconvert,fusedanova-method and
fusedanova.
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