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.

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:

Reference manual:	dpasurv.pdf
Vignettes:	The dpasurv package (source, R code) ggplot plotting functionality (source, R code)

Downloads:

Package source:	dpasurv_0.1.0.tar.gz
Windows binaries:	r-devel: dpasurv_0.1.0.zip, r-release: dpasurv_0.1.0.zip, r-oldrel: dpasurv_0.1.0.zip
macOS binaries:	r-release (arm64): dpasurv_0.1.0.tgz, r-oldrel (arm64): dpasurv_0.1.0.tgz, r-release (x86_64): dpasurv_0.1.0.tgz, r-oldrel (x86_64): dpasurv_0.1.0.tgz

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