Description Usage Arguments Details Value Author(s) References See Also Examples

Fit a mixture of regressions model, one EM step at a time, plotting the result after each step.

1 2 3 |

`fmla` |
The formula specifying the regression in the mixture model that is to be fitted. |

`ncomp` |
Integer scalar; the number of components in the model. Defaults to 2. |

`eqVar` |
See |

`thetaStart` |
See |

`nsteps` |
Integer scalar; the maximum number of EM steps to be undertaken. |

`eps` |
See |

`digits` |
The number of digits to which the details about the EM steps are printed out. |

`maxTry` |
See |

`seed` |
See |

`data` |
A data frame containing the variables to which the model is to be fitted. |

Can only be used in an interactive session. *May* give
some insight into convergence problems or into the reasons
for unexpected results in the fit.

An object of class `"mixreg"`

. See `mixreg()`

.
The model being fitted may not have converged.

Rolf Turner r.turner@auckland.ac.nz

See `mixreg()`

.

1 2 3 4 5 6 7 8 | ```
## Not run: # Interactive session is required.
vfit <- visualFit(y~x,data=kilnAfull,ncomp=3)
stepPlot(y ~ x,ncomp=3,data=kilnAfull,thetaStart=vfit$theta)
## End(Not run)
# The result is clearly slightly wrong in respect of the second ("middle")
# component, which has a slope that is too low. The outlier in
# kilnAfull may be "pulling up" the left hand end of the fitted line.
``` |

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