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]

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NEWS

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

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

10 exports 0.09 score 49 dependencies 23 scripts 8 downloads

Last updated 15 days agofrom:7884165d16. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winOKSep 04 2024
R-4.5-linuxOKSep 04 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

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

Dependencies:clicodetoolscolorspacecpp11digestdplyrfansifarverfuturefuture.applygenericsggplot2globalsgluegtableisobandlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmenumDerivparallellypillarpkgconfigprogressrpurrrR6RColorBrewerrlangscalesSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimeregutf8vctrsviridisLitewithr

ggplot plotting functionality

Rendered fromggplot_demo.Rmdusingknitr::rmarkdownon Sep 04 2024.

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

The dpasurv package

Rendered fromdpa.Rmdusingknitr::rmarkdownon Sep 04 2024.

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