yags can involve a nested iteration procedure with solutions to an auxiliary estimating equation Ua embedded in the standard NR. the iteration process is controlled by parameters set in this function.

1 2 3 | ```
yags.control(maxiter=15, tol=1e-04, verbose=FALSE, Ua.maxit=20, Ua.tol=0.001,
Ua.gridlo=0.1, Ua.gridhi=0.9, Ua.gridnpts=10, Ua.secantdel=0.01,
fixscale=FALSE)
``` |

`maxiter` |
bound on number of NR iterations |

`tol` |
convergence criterion for NR |

`verbose` |
should extra info on iterations be emitted? |

`Ua.maxit` |
max number iterations for auxiliary estimating equation solver |

`Ua.tol` |
convergence criterion for aux. solver |

`Ua.gridlo` |
aux solver starts with a grid search: lower starting point |

`Ua.gridhi` |
upper bound to starting grid |

`Ua.gridnpts` |
number of nodes in starting grid |

`Ua.secantdel` |
delta for secant solution |

`fixscale` |
is scale parameter fixed? |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.