CRAN/E | dirttee

dirttee

Distributional Regression for Time to Event Data

Installation

About

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.

Key Metrics

Version 1.0.2
R ≥ 3.6.0
Published 2023-12-21 99 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks dirttee results

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Maintainer

Maintainer

Alexander Seipp

alexander.seipp@uni-oldenburg.de

Authors

Alexander Seipp

aut / cre

Fabian Otto-Sobotka

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dirttee archive

Depends

expectreg ≥ 0.5.0
R ≥ 3.6.0

Imports

formula.tools
MASS
Matrix
mgcv
nloptr
provenance
rlang
splines
survival