| nonlinearModel-class {momentfit} | R Documentation |
Class "nonlinearModel"
Description
Class for moment-based models for which moment conditions are orthogonality conditions between instruments and the residuals from a nonlinear regression.
Objects from the Class
Objects can be created by calls of the form new("nonlinearModel",
...).
It is generated my momentModel.
Slots
modelF:Object of class
"data.frame"~~instF:Object of class
"data.frame"~~vcov:Object of class
"character"~~theta0:Object of class
"numeric"~~n:Object of class
"integer"~~q:Object of class
"integer"~~k:Object of class
"integer"~~parNames:Object of class
"character"~~momNames:Object of class
"character"~~fRHS:Object of class
"expression"~~fLHS:Object of class
"expressionORNULL"~~vcovOptions:Object of class
"list"~~centeredVcov:Object of class
"logical"~~varNames:Object of class
"character"~~isEndo:Object of class
"logical"~~omit:Object of class
"integer"~~survOptions:Object of class
"list"~~sSpec:Object of class
"sSpec"~~smooth:Object of class
"logical"~~
Extends
Class "regModel", directly.
Class "allNLModel", directly.
Class "momentModel", directly.
Methods
- Dresiduals
signature(object = "nonlinearModel"): ...- merge
signature(x = "nonlinearModel", y = "nonlinearModel"): ...- merge
signature(x = "snonlinearModel", y = "nonlinearModel"): ...- model.matrix
signature(object = "nonlinearModel"): ...- modelDims
signature(object = "nonlinearModel"): ...- momentStrength
signature(object = "nonlinearModel"): ...- residuals
signature(object = "nonlinearModel"): ...- restModel
signature(object = "nonlinearModel"): ...
Examples
showClass("nonlinearModel")