Package: recurrentpseudo 1.0.0

recurrentpseudo: Creates Pseudo-Observations and Analysis for Recurrent Event Data

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>.

Authors:Julie Kjærulff Furberg [aut, cre]

recurrentpseudo_1.0.0.tar.gz
recurrentpseudo_1.0.0.zip(r-4.7)recurrentpseudo_1.0.0.zip(r-4.6)recurrentpseudo_1.0.0.zip(r-4.5)
recurrentpseudo_1.0.0.tgz(r-4.6-any)recurrentpseudo_1.0.0.tgz(r-4.5-any)
recurrentpseudo_1.0.0.tar.gz(r-4.7-any)recurrentpseudo_1.0.0.tar.gz(r-4.6-any)
recurrentpseudo_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
recurrentpseudo/json (API)

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

Bug tracker:https://github.com/juliekfurberg/recurrentpseudo/issues

On CRAN:

Conda:

3.70 score 1 stars 1 scripts 178 downloads 4 exports 53 dependencies

Last updated from:c58ea803ee. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE180
source / vignettesOK202
linux-release-x86_64NOTE162
macos-release-arm64NOTE167
macos-oldrel-arm64NOTE178
windows-develNOTE114
windows-releaseNOTE207
windows-oldrelNOTE113
wasm-releaseOK120

Exports:pseudo.geefitpseudo.onedimpseudo.threedimpseudo.twodim

Dependencies:backportsbroomclicodetoolscpp11data.tablediagramdigestdplyrfarverfuturefuture.applygeepackgenericsggplot2globalsgluegtableisobandKernSmoothlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixnumDerivparallellypillarpkgconfigprodlimprogressrpurrrR6RColorBrewerRcpprlangS7scalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

recurrentpseudo: An R package for analysing recurrent events in the presence of terminal events using pseudo-observations

Rendered fromrecurrentpseudo.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2023-03-22
Started: 2022-05-09