Local polynomial regression estimation for interval-censored data.

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`x` |
uncensored explanatory variable vector |

`y` |
uncensored portion of response vector (optional) |

`y.IC` |
two-column matrix of left and right interval endpoints for censored responses |

`degree` |
degree of local polynomial |

`h` |
bandwidth |

`niter` |
number of iterations |

`kernel` |
smoothing kernel to be used; default is "normal"; other choices as in the function locpoly |

`gridsize` |
number of gridpoints; again as in locpoly |

A list consisting of the explanatory variable x and the imputed responses y as well as the estimate of sigma. Usually, one would apply locpoly with a similar bandwidth to obtain the final fitted model.

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