Description Usage Arguments Details Creating Objects Slots Methods Further 'methods' Author(s) References See Also Examples
Class for RandomFields' representation of model estimation results
1 2 3 4 5 6 7 8 9 10 11 12 13  ## S4 method for signature 'RFfit'
residuals(object, ..., method="ml", full=FALSE)
## S4 method for signature 'RFfit'
summary(object, ..., method="ml")
## S4 method for signature 'RFfit,missing'
plot(x, y, ...)
## S3 method for class 'RFfit'
contour(x, ...)
## S3 method for class 'RFempVariog'
contour(x, ...)
RFhessian(model)

object 
see the generic function; 
... 

method 
character; only for 
full 
logical.
if 
x 
object of class 
y 
unused 
model 

for the definition of plot
see RFplotEmpVariogram
.
Objects are created by the function
RFfit
autostart
:RMmodelFit; contains the estimation results for the method 'autostart' including a likelihood value, a constant trend and the residuals
boxcox
:logical; whether the parameter of a Box Cox tranformation has been estimated
coordunits
:string giving the units of the coordinates,
see also option coordunits
of RFoptions
.
deleted
:integer vector. Positions of the parameters that have been deleted to get the set of variables, used in the optimization.
ev
:list; list of objects of class
RFempVariog
,
contains the empirical variogram estimates of the data
fixed
:list of two vectors. The fist gives the position where the parameters are set to zero. The second gives the position where the parameters are set to one.
internal1
:RMmodelFit; analog to slot 'autostart'
internal2
:RMmodelFit; analog to slot 'autostart'
internal3
:RMmodelFit; analog to slot 'autostart'
lowerbounds
:RMmodel; covariance model in which each parameter value gives the lower bound for the respective parameter
ml
:RMmodelFit; analog to slot 'autostart'
modelinfo
:table with information on the parameters: name, boundaries, type of parameter
n.covariates
:number of covariates
n.param
:number of parameters (given by the user)
n.variab
:number of variables (used internally);
n.variab
is always less than or equal to n.param
number.of.data
:the number of data values passed to RFfit
that are
not NA
or NaN
number.of.parameters
:total number of parameters of the model that had to be estimated including variances, scales, covariables, etc.
p.proj
:vector of integers. The original position of those parameters that are used in the submodel
plain
:RMmodelFit; analog to slot 'autostart'
report
:If not empty, it indicates that this model should be reported and gives a standard name of the model.
Various functions, e.g. print.RMmodelFit
, use
this information if their argument full
equals TRUE
.
self
:RMmodelFit; analog to slot 'autostart'
sd.inv
:RMmodelFit; analog to slot 'autostart'
sqrt.nr
:RMmodelFit; analog to slot 'autostart'
submodels
:list. Sequence (in some cases even nested sequence) of models that is used to determine an initial value in
table
:matrix; summary of estimation results of different methods
transform
:function;
true.tsdim
:time space dimension of the (original!) data, even for submodels that consider parts of separable models.
true.vdim
:multivariability of the (original!) data, even for submodels that consider independent models for the multivariate components.
upperbounds
:RMmodel; see slot 'lowerbounds'
users.guess
:RMmodelFit; analog to slot 'autostart'
ml
:RMmodelFit; analog to slot 'autostart'; with maximum likelihood method
v.proj
:vector of integers. The components selected in one of the submodels
varunits
:string giving the units of the variables,
see also option varunits
of RFoptions
.
x.proj
:logical or integer. If logical, it means that no separable model is considered there. If integer, then it gives the considered directions of a separable model.
Z
:standardized list of information on the data
signature(x = "RFfit")
: gives a plot of the
empirical variogram together with the fitted model, for more details see
plotmethod
.
signature(x = "RFfit")
: returns the structure
of x
signature(obj =
"RFfit")
: generates persp
plots
signature(x = "RFfit")
: identical with
show
method, additional argument is max.level
signature(x = "RFfit")
: enables accessing
the slots via the "["
operator, e.g. x["ml"]
signature(x = "RFfit")
:
converts into other formats, only implemented for target class
RFempVariog
performs a likelihood ratio test base on a chisq approximation
provides a summary
provides an object of class "logLik"
provides the AIC and BIC information, respectively
signature(x = "RFfit", y = "missing")
Combines the plot of
the empirical variogram with the estimated covariance or variogram
model (theoretical) curves; further models can be added via the
argument model
.
AICc.RFfit(object, ..., method="ml", full=FALSE)
AICc.RF_fit(object, ..., method="ml", full=TRUE)
Alexander Malinowski; \martin
AICc:
Hurvich, C.M. and Tsai, C.L. (1989) Regression and Time Series Model Selection in Small Samples Biometrika, 76, 297307.
RFfit
,
RFvariogram
,
RMmodelclass
,
RMmodelFitclass
,
plotmethod
.
1  # see RFfit

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