NregFix {flexmix} | R Documentation

## Artificial Example for Normal Regression

### 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

    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

    data("NregFix")
    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 <- stepFlexmix(y ~ 1, model = Model, data = NregFix, k = 3,
                              concomitant = FLXPmultinom(~ w), nrep=5)
    fittedModel
    summary(refit(fittedModel))

[Package flexmix version 2.2-4 Index]