ctqr-package: Censored and Truncated Quantile Regression

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 A quantile regression estimator for interval-censored data (unpublished).

See Also

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

ctqr documentation built on Feb. 2, 2021, 1:06 a.m.