| ctqr-package {ctqr} | R Documentation |
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 A quantile regression estimator for interval-censored data (unpublished).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.