Package: dirttee 1.0.2

Alexander Seipp

dirttee: Distributional Regression for Time to Event Data

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>.

Authors:Alexander Seipp [aut, cre], Fabian Otto-Sobotka [aut]

dirttee_1.0.2.tar.gz
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dirttee.pdf |dirttee.html✨
dirttee/json (API)

# Install 'dirttee' in R:
install.packages('dirttee', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 235 downloads 15 exports 49 dependencies

Last updated 1 years agofrom:23d567ffc0. Checks:2 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 16 2025
R-4.5-linuxNOTEMar 16 2025
R-4.4-linuxOKMar 16 2025

Exports:boot.modregdasynormdgumbelexpectreg.aftexpectreg.ipcmodregmodreg.controlpasynormpgumbelqasynormqgumbelqureg.aftrasynormrgumbelweightsKM

Dependencies:BayesXclassclassIntcodacolorspaceDBIdeldirdotCall64e1071expectregfieldsforeignFormulaformula.toolsinterpinumIsoplotRKernSmoothlatticelibcoinmagrittrmapsMASSMatrixmboostmgcvmvtnormnlmenloptrnnlsoperator.toolspartykitprovenanceproxyquadprogRcppRcppEigenrlangrparts2sfshapefilesspspamstabssurvivalunitsviridisLitewk

Citation

To cite package ‘dirttee’ in publications use:

Seipp A, Otto-Sobotka F (2023). dirttee: Distributional Regression for Time to Event Data. R package version 1.0.2, https://CRAN.R-project.org/package=dirttee.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {dirttee: Distributional Regression for Time to Event
      Data},
    author = {Alexander Seipp and Fabian Otto-Sobotka},
    year = {2023},
    note = {R package version 1.0.2},
    url = {https://CRAN.R-project.org/package=dirttee},
  }