Auxiliary function used for fitting the sample selection models. Contains control sequences, tuning constants and robustness weight functions.

1 2 3 4 | ```
heckitrob.control(acc = 1e-04, test.acc = "coef", maxit = 50, maxitO = 50,
weights.x1 = c("none", "hat", "robCov", "covMcd"),
weights.x2 = c("none", "hat", "robCov", "covMcd"),
tcc = 1.345, t.c = 1.345)
``` |

`acc` |
positive convergence level |

`test.acc` |
Only "coef" is currently implemented |

`maxit` |
integer giving the maximum number of iterations: selection equation |

`maxitO` |
integer giving the maximum number of iterations: outcome equation |

`weights.x1` |
robustness weights controlling for the leverage effect in the selection equation |

`weights.x2` |
robustness weights controlling for the leverage effect in the outcome equation |

`tcc` |
tuning constant c for Huber's psi-function for the selection stage |

`t.c` |
tuning constant c for Huber's psi-function for the outcome stage |

A list with the arguments as components.

Mikhail Zhelonkin, Marc G. Genton, Elvezio Ronchetti

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