Description Objects from the Class Slots Methods Author(s) See Also Examples
The class globalfit
handles return objects
from globalfit. It contains for some given data a list of fitted
distributions, their estimated parameters and supplementary information.
Objects can be created by calls of the form
new("globalfit", data, continuity, method, fits)
.
More comfortably, you may use the function globalfit
.
The result of these calls is a globalfit object.
the call, which created this object
vector of data points
logical; if TRUE
, indicating that the data
points come from a continuous distribution;
if FALSE
, indicating that they come from a discrete
distribution
character; the method used for the fit.
list of S4-objects of class
optimParams
signature(object = "globalfit")
:
summarizes the object and creates an object of
globalfitSummary
.
Specify argument ic
to choose how the results
are to be sorted (as in method sort
.
signature(x = "globalfit")
:
computes a histogram of the given data points and plots it
together with the density of the estimated best fit.
Specify argument which
to choose which fitted density
to overlay: the number of the fit as returned by
summary
; i.e. which = 1
for the best fit,
which = 2
for the second-best etc.
Default is 1
.
signature(x = "globalfit")
: applies the
method summary
and prints the result.
signature(x = "globalfit")
: shows the AIC value of the
fits. Specify argument n
to display AIC for the n
best fits according to this criterion.
signature(x = "globalfit")
: shows the BIC value of the
fits. Specify argument n
to display BIC for the n
best fits according to this criterion.
signature(x = "globalfit")
: sorts the results in slot
fits
by the information criterium selected.
in argument ic
.
Available options are "AIC"
, "BIC"
or
"AICc"
.
Moritz Lauff, Kiril Dik, Nadine Tampe, Borui Niklas Zhu, Benedikt Geier, Moritz Kern
globalfitSummary
optimParams
globalfit
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