fDISTFIT-class | R Documentation |
"fDISTFIT"
S4 class representing fitted distributions.
Objects can be created by calls of the form new("fDISTFIT", ...)
but are typically created by functions fitting distributions.
call
:Object of class "call"
~~
model
:Object of class "character"
~~
data
:Object of class "data.frame"
~~
fit
:Object of class "list"
~~
title
:Object of class "character"
~~
description
:Object of class "character"
~~
Slot fit
is a list. Its components depend on the fitting
functions. Here is the meaning of some common ones:
the point at which the maximum value of the log liklihood function is obtained.
the value of the estimated maximum, i.e. the value of the log liklihood function.
an integer indicating why the optimization process terminated.
1: relative gradient is close to zero, current iterate is probably
solution;
2: successive iterates within tolerance, current iterate is probably
solution;
3: last global step failed to locate a point lower than estimate
.
Either estimate
is an approximate local minimum of the
function or steptol
is too small;
4: iteration limit exceeded;
5: maximum step size stepmax
exceeded five consecutive times.
Either the function is unbounded below, becomes asymptotic to a
finite value from above in some direction or stepmax
is too small.
the gradient at the estimated maximum.
signature(object = "fDISTFIT")
: ...
showClass("fDISTFIT")
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