Type: Package
Package: dirttee
Title: Distributional Regression for Time to Event Data
Version: 1.0.2
Date: 2023-12-21
Author: Alexander Seipp [aut, cre], Fabian Otto-Sobotka [aut]
Maintainer: Alexander Seipp <alexander.seipp@uni-oldenburg.de>
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'' <doi:10.1002/sim.9137>, mode regression for
    time-to-event variables has been introduced in Seipp et al. (2022)
    ``Flexible Semiparametric Mode Regression for Time-to-Event Data''
    <doi:10.1177/09622802221122406>.
License: GPL (>= 2)
Depends: expectreg(>= 0.5.0), R (>= 3.6.0)
Imports: formula.tools, MASS, Matrix, mgcv, nloptr, provenance, rlang,
        splines, survival
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-12-21 19:30:49 UTC; Seife
Repository: CRAN
Date/Publication: 2023-12-21 21:20:02 UTC
Built: R 4.2.0; ; 2023-12-22 14:26:24 UTC; unix
