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:
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')) |
- colcancer - Colon Cancer Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:23d567ffc0. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 16 2024 |
R-4.5-linux | NOTE | Dec 16 2024 |
Exports:boot.modregdasynormdgumbelexpectreg.aftexpectreg.ipcmodregmodreg.controlpasynormpgumbelqasynormqgumbelqureg.aftrasynormrgumbelweightsKM
Dependencies:BayesXclassclassIntcodacolorspaceDBIdeldirdotCall64e1071expectregfieldsforeignFormulaformula.toolsinterpinumIsoplotRKernSmoothlatticelibcoinmagrittrmapsMASSMatrixmboostmgcvmvtnormnlmenloptrnnlsoperator.toolspartykitprovenanceproxyquadprogRcppRcppEigenrlangrparts2sfshapefilesspspamstabssurvivalunitsviridisLitewk
Readme and manuals
Help Manual
Help page | Topics |
---|---|
DIstributional Regression for Times To EvEnt | dirttee-package dirttee |
The asymmetric normal distribution. | asynorm dasynorm pasynorm qasynorm rasynorm |
Estimate confidence intervals and standard errors for the mode regression fit | boot.modreg |
Colon Cancer Dataset | colcancer |
Expectile regression for right censored event times using an auxiliary likelihood | expectreg.aft qureg.aft |
Expectile regression for right-censored data | expectreg.ipc |
The Gumbel Distribution. | dgumbel gumbel pgumbel qgumbel rgumbel |
Methods for fitted modreg model | coef.modreg coefficients.modreg methods print.modreg print.summary.modreg summary.modreg |
Mode-regression for right-censored data | modreg |
Setting fitting values for 'modreg'. | modreg.control |
Plot regression terms for modreg objects | plot.modreg |
Prediction from a fitted modreg model | predict.modreg |
Inverse probability of censoring weights | weightsKM |