Package: dpasurv 0.1.0

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:Novartis Pharma AG [cph], Matthias Kormaksson [aut, cre], Susanne Strohmaier [aut], Markus Lange [aut], David Demanse [aut]

dpasurv_0.1.0.tar.gz
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dpasurv_0.1.0.tgz(r-4.6-any)dpasurv_0.1.0.tgz(r-4.5-any)
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manual.pdf |manual.html
card.svg |card.png
dpasurv/json (API)
NEWS

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

Pkgdown/docs site:https://opensource.nibr.com

Datasets:

On CRAN:

Conda:

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

3.38 score 24 scripts 175 downloads 10 exports 44 dependencies

Last updated from:7884165d16. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK158
source / vignettesOK281
linux-release-x86_64OK161
macos-release-arm64OK154
macos-oldrel-arm64OK174
windows-develOK116
windows-releaseOK149
windows-oldrelOK120
wasm-releaseOK121

Exports:add.ciAregcheck.dagdpaeffectfind.variablesget.metaggplot.effectMregSurv

Dependencies:clicodetoolscpp11digestdplyrfarverfuturefuture.applygenericsggplot2globalsgluegtableisobandlabelinglatticelavalifecyclelistenvmagrittrMatrixnumDerivparallellypillarpkgconfigprogressrpurrrR6RColorBrewerrlangS7scalesSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimeregutf8vctrsviridisLitewithr

ggplot plotting functionality

Rendered fromggplot_demo.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2024-09-03
Started: 2024-09-03

The dpasurv package

Rendered fromdpa.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2024-09-03
Started: 2024-09-03