momentfit (version 0.5)

model.matrix-methods: ~~ Methods for Function model.matrix in Package stats ~~

Description

Model matrix form momentModel. It returns the matrix of regressors or the instruments. In restricted models, it returns the reduced matrix of regressors.

Usage

# S4 method for linearModel
model.matrix(object,
type=c("regressors","instruments"))
# S4 method for rlinearModel
model.matrix(object,
type=c("regressors","instruments"))
# S4 method for nonlinearModel
model.matrix(object,
type=c("regressors","instruments"))
# S4 method for slinearModel
model.matrix(object,
type=c("regressors","instruments"))
# S4 method for rslinearModel
model.matrix(object,
type=c("regressors","instruments"))
# S4 method for rsnonlinearModel
model.matrix(object,
type=c("regressors","instruments"))
# S4 method for snonlinearModel
model.matrix(object,
type=c("regressors","instruments"))

Arguments

object

Object of class linearModel, rlinearModel or any system of equations class.

type

Should the function returns the matrix of instruments or the matrix of regressors. For nonlinearModel classes, type='regressors' will produce an error message, because there is no such model matrix in this case, at least not for now.

Methods

signature(object = "linearModel")

Linear models with not restrictions.

signature(object = "nonlinearModel")

Nonlinear models with not restrictions.

signature(object = "rlinearModel")

linear models with restrictions.

signature(object = "slinearModel")

System of linear equations with no restrictions.

signature(object = "rslinearModel")

System of linear equations with restrictions.

signature(object = "rsnonlinearModel")

System of nonlinear equations with restrictions.

signature(object = "snonlinearModel")

System of nonlinear equations with no restrictions.

Examples

data(simData)

## Unrestricted model
model1 <- momentModel(y~x1+x2+x3, ~x2+x3+z1+z2, data=simData)
model.matrix(model1)[1:3,]

## Restrictions change the response
R <- c("x2=2","x3+x1=3")
rmodel1 <- restModel(model1, R)
rmodel1
model.matrix(rmodel1)[1:3,]