Artificial Example for Normal Regression

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Description

A simple artificial regression example with 3 latent classes, two independent variables, one concomitant variable and a dependent variable which follows a Gaussian distribution.

Usage

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data("NregFix")

Format

A data frame with 200 observations on the following 5 variables.

x1

Independent variable: numeric variable.

x2

Independent variable: a factor with two levels: 0 and 1.

w

Concomitant variable: a factor with two levels: 0 and 1.

y

Dependent variable.

class

Latent class memberships.

Examples

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data("NregFix", package = "flexmix")
library("lattice")
xyplot(y ~ x1 | x2 * w, data = NregFix, groups = class)
Model <- FLXMRglmfix(~ 1, fixed = ~ x2, 
                     nested = list(k = c(2, 1),
                     formula = c(~x1, ~0)))
fittedModel <- initFlexmix(y ~ 1, model = Model, data = NregFix, k = 3,
                           concomitant = FLXPmultinom(~ w), nrep = 5)
fittedModel

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