Description Details Author(s) References See Also

Fit quantile regression models to survival data, allowing for right censoring, left truncation, and interval censoring.

Package: | ctqr |

Type: | Package |

Version: | 2.0 |

Date: | 2021-01-29 |

License: | GPL-2 |

The main function `ctqr`

is used for model fitting. Other documented functions are `predict.ctqr`

, to obtain prediction from a `ctqr`

object, `plot.ctqr`

, to plot quantile regression coefficients, and `ctqr.control`

, that can be used to set the operational parameters for the estimation algorithm.

Paolo Frumento

Maintainer: Paolo Frumento <paolo.frumento@unipi.it>

Frumento, P., and Bottai, M. (2017). An estimating equation for censored and truncated quantile regression. *Computational Statistics and Data Analysis*, Vol.113, pp.53-63. ISSN: 0167-9473.

Frumento, P. (2021). A quantile regression estimator for interval-censored data (unpublished).

`pchreg`

, that is used to compute a preliminary estimate of the conditional outcome distribution.

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