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
dirttee_1.0.2.tar.gz(r-4.5-noble)dirttee_1.0.2.tar.gz(r-4.4-noble)
dirttee_1.0.2.tgz(r-4.4-emscripten)dirttee_1.0.2.tgz(r-4.3-emscripten)
dirttee.pdf |dirttee.html
dirttee/json (API)

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

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

15 exports 0.00 score 49 dependencies 289 downloads

Last updated 9 months agofrom:23d567ffc0. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-linuxNOTESep 17 2024

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

Dependencies:BayesXclassclassIntcodacolorspaceDBIdeldirdotCall64e1071expectregfieldsforeignFormulaformula.toolsinterpinumIsoplotRKernSmoothlatticelibcoinmagrittrmapsMASSMatrixmboostmgcvmvtnormnlmenloptrnnlsoperator.toolspartykitprovenanceproxyquadprogRcppRcppEigenrlangrparts2sfshapefilesspspamstabssurvivalunitsviridisLitewk