Fit quantile regression models to survival data, allowing for right censoring, left truncation, and interval censoring.
Paolo Frumento
Maintainer: Paolo Frumento <paolo.frumento@unipi.it>
| Package: | ctqr |
| Type: | Package |
| Version: | 2.1 |
| Date: | 2024-02-12 |
| 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.
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. (2022). A quantile regression estimator for interval-censored data. The International Journal of Biostatistics, 19 (1), pp. 81-96.
pchreg, that is used to compute a preliminary estimate of the conditional outcome distribution.