ctqr-package: Censored and Truncated Quantile Regression
In ctqr: Censored and Truncated Quantile Regression
ctqr-package R Documentation
Censored and Truncated Quantile Regression
Description
Fit quantile regression models to survival data, allowing for right censoring, left truncation, and interval censoring.
Details
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.
Author(s)
Paolo Frumento
Maintainer: Paolo Frumento <paolo.frumento@unipi.it>
References
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.
See Also
pchreg, that is used to compute a preliminary estimate of the conditional outcome distribution.
ctqr documentation built on June 22, 2024, 12:24 p.m.
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| ctqr-package | R Documentation |
Censored and Truncated Quantile Regression
Description
Fit quantile regression models to survival data, allowing for right censoring, left truncation, and interval censoring.
Details
| 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.
Author(s)
Paolo Frumento
Maintainer: Paolo Frumento <paolo.frumento@unipi.it>
References
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.
See Also
pchreg, that is used to compute a preliminary estimate of the conditional outcome distribution.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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