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dirttee  

Distributional Regression for Time to Event Data
View on CRAN: Click here


Download and install dirttee package within the R console
Install from CRAN:
install.packages("dirttee")

Install from Github:
library("remotes")
install_github("cran/dirttee")

Install by package version:
library("remotes")
install_version("dirttee", "1.0.2")



Attach the package and use:
library("dirttee")
Maintained by
Alexander Seipp
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-18
Latest Update:
Description:
Semiparametric distributional regression methods (expectile, quantile and mode regression) for time-to-event variables with right-censoring; uses inverse probability of censoring weights or accelerated failure time models with auxiliary likelihoods. Expectile regression using inverse probability of censoring weights has been introduced in Seipp et al. (2021) ``Weighted Expectile Regression for Right-Censored Data'' , mode regression for time-to-event variables has been introduced in Seipp et al. (2022) ``Flexible Semiparametric Mode Regression for Time-to-Event Data'' .
How to cite:
Alexander Seipp (2022). dirttee: Distributional Regression for Time to Event Data. R package version 1.0.2, https://cran.r-project.org/web/packages/dirttee. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.1 (2022-09-14 17:40), 1.0.2 (2023-12-21 22:20), 1.0 (2022-08-18 09:10)
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Complete documentation for dirttee
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