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:
recurrentpseudo_1.0.0.tar.gz
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recurrentpseudo_1.0.0.tgz(r-4.4-any)recurrentpseudo_1.0.0.tgz(r-4.3-any)
recurrentpseudo_1.0.0.tar.gz(r-4.5-noble)recurrentpseudo_1.0.0.tar.gz(r-4.4-noble)
recurrentpseudo_1.0.0.tgz(r-4.4-emscripten)recurrentpseudo_1.0.0.tgz(r-4.3-emscripten)
recurrentpseudo.pdf |recurrentpseudo.html✨
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
Last updated 2 years agofrom:c58ea803ee. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | NOTE | Nov 01 2024 |
R-4.5-linux | NOTE | Nov 01 2024 |
R-4.4-win | NOTE | Nov 01 2024 |
R-4.4-mac | NOTE | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:pseudo.geefitpseudo.onedimpseudo.threedimpseudo.twodim
Dependencies:backportsbroomclicodetoolscpp11data.tablediagramdigestdplyrfansifuturefuture.applygeepackgenericsglobalsglueKernSmoothlatticelavalifecyclelistenvmagrittrMASSMatrixnumDerivparallellypillarpkgconfigprodlimprogressrpurrrR6RcpprlangshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselectutf8vctrswithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Function that makes GEE model fit for recurrent pseudo-observations | pseudo.geefit |
Function that computes univariate pseudo-observations | pseudo.onedim |
Function that computes 3-dim pseudo-observations | pseudo.threedim |
Function that computes bivariate pseudo-observations | pseudo.twodim |