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Computation of one-, two- and three-dimensional pseudo-observations based on recurrent events and terminal events. Generalised linear models are fitted using generalised estimating equations. Technical details on the bivariate procedure can be found in "Bivariate pseudo-observations for recurrent event analysis with terminal events" (Furberg et al., 2021) <doi:10.1007/s10985-021-09533-5>.
Version: | 1.0.0 |
Depends: | magrittr, dplyr |
Imports: | survival, geepack, stringr, prodlim |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2022-09-19 |
DOI: | 10.32614/CRAN.package.recurrentpseudo |
Author: | Julie Kjærulff Furberg
|
Maintainer: | Julie Kjærulff Furberg <julie_furberg at hotmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/JulieKFurberg/recurrentpseudo |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | recurrentpseudo results |
Reference manual: | recurrentpseudo.pdf |
Vignettes: |
recurrentpseudo |
Package source: | recurrentpseudo_1.0.0.tar.gz |
Windows binaries: | r-devel: recurrentpseudo_1.0.0.zip, r-release: recurrentpseudo_1.0.0.zip, r-oldrel: recurrentpseudo_1.0.0.zip |
macOS binaries: | r-release (arm64): recurrentpseudo_1.0.0.tgz, r-oldrel (arm64): recurrentpseudo_1.0.0.tgz, r-release (x86_64): recurrentpseudo_1.0.0.tgz, r-oldrel (x86_64): recurrentpseudo_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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