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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