# Class `"fDISTFIT"`

`fDISTFIT-class.Rd`

S4 class representing fitted distributions.

## Objects from the Class

Objects can be created by calls of the form `new("fDISTFIT", ...)`

but are typically created by functions fitting distributions.

## Slots

`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:

- estimate
the point at which the maximum value of the log liklihood function is obtained.

- minimum
the value of the estimated maximum, i.e. the value of the log liklihood function.

- code
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.- gradient
the gradient at the estimated maximum.