RMmodelFit-class: Class "RMmodelFit"
Description
Extension of Class RMmodel
which additionally contains
the likelihood of the data w.r.t. the covariance model represented by
the "RMmodel" part, the estimated trend of the data if it is a
constant trend, and the residuals of the data w.r.t. the model. Objects
of this class only occur as slots in the output of "RFfit".
Creating Objects
Objects are only ment to be created by the function
RFfitSlots
AIC:- the AIC value for the ml estimation
AICc:- the corrected AIC value for the ml estimation
BIC:- the BIC value for the ml estimation
call:- see
RMmodel. likelihood:- numeric; the likelihood of the data
w.r.t. the covariance model
name:- see
RMmodel. par.model:- see
RMmodel. par.general:- see
RMmodel. param:-
vector of estimated parameters
residuals:- array or of class
RFsp;
residuals of the data w.r.t. the trend model submodels:- see
RMmodel. trend:- numeric; the estimated mean of the data (if a
constant mean was specified in the model)
variab:-
vector of estimated variables. Variables
are used in the internal representation and
can be a subset of the parameters.
Extends
Class "RMmodel", directly.Methods
- [
signature(x = "RMmodelFit"): enables accessing
the slots via the "["-operator, e.g. x["likelihood"]- [<-
signature(x = "RMmodelFit"): enables replacing
the slots via the "["-operator- show
signature(x = "RFfit"): returns the structure
of x- print
signature(x = "RFfit"): identical with
show-method- anova
- performs a likelihood ratio test base on a chisq approximation
- summary
- gives a summary