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

Carries out the M-step for EM algorithm

1 | ```
m.step(X, modelname, z, mtol=1e-10, mmax=10)
``` |

`X` |
a matrix such that |

`modelname` |
A three letter sequence indicating the covariance structure.
Possible values are: |

`z` |
A matrix of weights such that |

`mtol` |
The convergence criteria for the M-step if an iterative procedure is necessary. |

`mmax` |
The maximum number of iterations for an iterative procedure. |

A list of the model parameters with the `mu`

, `Sigma`

, `invSigma`

and `px`

for each group.

Antonio Punzo, Angelo Mazza, Paul D. McNicholas

Punzo A., Mazza A. and McNicholas P. D. (2018). ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions. *Journal of Statistical Software*, **85**(10), 1–25.

Punzo A. and McNicholas P. D. (2016). Parsimonious mixtures of multivariate contaminated normal distributions. *Biometrical Journal*, **58**(6), 1506–1537.

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