Class FLModel for statistical models

Description

The FLModel class provides a virtual class that developers of various statistical models can use to implement classes that allow those models to be tested, fitted and presented.

Slots in this class attempt to map all the usual outputs for a modelling exercise, together with the standard inputs. Input data is stored in slots created by each of those classes based on FLModel.See, for example FLSR-class for a class used for stock-recruitment models.

Various fitting algorithms, similar to those present in the basic R packages are currently available for FLModel, including fmle, nls-FLCore and glm.

Slots

name

Name of the object. character.

desc

Description of the object. character.

range

Range. numeric.

fitted

Estimated values for rec. FLQuant.

residuals

Residuals obtained from the model fit. FLQuant.

model

Model formula. formula.

grad

Function returning the gradient of the model. function.

logl

Log-likelihood function. function.

initial

Function returning initial parameter values for the optimizer. function.

params

Estimated parameter values. FLPar.

logLik

Value of the log-likelihood. logLik.

vcov

Variance-covariance matrix. array.

details

extra information on the model fit procedure. list.

Extends

FLComp

Methods

AIC(stats) :

Describe method

signature(object=FLModel,k=numeric)

AIC(stats) :

Describe method

signature(object=FLModel,k=missing)

BIC(stats4) :

Describe method

signature(object=missing)

fmle(FLCore) :

Describe method

signature(object=missing,start=missing)

nls(stats) :

Describe method

signature(formula=FLModel,data=missing,start=missing,control=missing,algorithm=missing,trace=missing,subset=missing,weights=missing,na.action=missing,model=missing,lower=missing,upper=missing)

Author(s)

The FLR Team

See Also

AIC, BIC, fmle, nls, FLComp