Package: dpasurv 0.1.0
Matthias Kormaksson
dpasurv: Dynamic Path Analysis of Survival Data via Aalen's Additive Hazards Model
Dynamic path analysis with estimation of the corresponding direct, indirect, and total effects, based on Fosen et al., (2006) <doi:10.1007/s10985-006-9004-2>. The main outcome of interest is a counting process from survival analysis (or recurrent events) data. At each time of event, ordinary linear regression is used to estimate the relation between the covariates, while Aalen's additive hazard model is used for the regression of the counting process on the covariates.
Authors:
dpasurv_0.1.0.tar.gz
dpasurv_0.1.0.tar.gz(r-4.5-noble)dpasurv_0.1.0.tar.gz(r-4.4-noble)
dpasurv_0.1.0.tgz(r-4.4-emscripten)dpasurv_0.1.0.tgz(r-4.3-emscripten)
dpasurv.pdf |dpasurv.html✨
dpasurv/json (API)
NEWS
| # Install 'dpasurv' in R: |
| install.packages('dpasurv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- simdata - Simulated data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:7884165d16. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-linux | OK | Nov 02 2024 |
Exports:add.ciAregcheck.dagdpaeffectfind.variablesget.metaggplot.effectMregSurv
Dependencies:clicodetoolscolorspacecpp11digestdplyrfansifarverfuturefuture.applygenericsggplot2globalsgluegtableisobandlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmenumDerivparallellypillarpkgconfigprogressrpurrrR6RColorBrewerrlangscalesSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimeregutf8vctrsviridisLitewithr
