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.
Version: 0.1.0 Depends: R (≥ 3.6.0) Imports: dplyr (≥ 0.8.3), tidyr (≥ 0.8.3), rlang (≥ 0.4.0), ggplot2 (≥ 3.2.0), survival (≥ 2.44.1.1), timereg (≥ 1.9.4), methods Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-09-02 DOI: 10.32614/CRAN.package.dpasurv Author: Novartis Pharma AG [cph], Matthias Kormaksson [aut, cre], Susanne Strohmaier [aut], Markus Lange [aut], David Demanse [aut] Maintainer: Matthias Kormaksson <mk375 at cornell.edu> License: MIT + file LICENSE URL: http://opensource.nibr.com/dpasurv/ NeedsCompilation: no Citation: dpasurv citation info Materials: README, NEWS CRAN checks: dpasurv results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=dpasurv to link to this page.
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