The landmark approach allows survival predictions to beupdated dynamically as new measurements from an individual are recorded.The idea is to set predefined time points, known as "landmark times",and form a model at each landmark time using only the individuals in therisk set. This package allows the longitudinal data to be modelledeither using the last observation carried forward or linear mixedeffects modelling. There is also the option to model competing risks,either through cause-specific Cox regression or Fine-Gray regression.To find out more about the methods in this package, please see <https://isobelbarrott.github.io/Landmarking/articles/Landmarking>.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | nlme,riskRegression,dplyr,pec, methods,prodlim, stats,survival,mstate,ggplot2 |
| Suggests: | testthat (≥ 3.0.0),knitr,rmarkdown,JM |
| Published: | 2022-02-15 |
| DOI: | 10.32614/CRAN.package.Landmarking |
| Author: | Isobel Barrott [aut, cre], Jessica Barrett [aut], Ruth Keogh [ctb], Michael Sweeting [ctb], David Stevens [ctb] |
| Maintainer: | Isobel Barrott <isobel.barrott at gmail.com> |
| BugReports: | https://github.com/isobelbarrott/Landmarking/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/isobelbarrott/Landmarking/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | Landmarking results |
| Reference manual: | Landmarking.html ,Landmarking.pdf |
| Vignettes: | Introduction to Landmark Models and the R package Landmarking (source,R code) How to use the R package 'Landmarking' (source,R code) |
| Package source: | Landmarking_1.0.0.tar.gz |
| Windows binaries: | r-devel:Landmarking_1.0.0.zip, r-release:Landmarking_1.0.0.zip, r-oldrel:Landmarking_1.0.0.zip |
| macOS binaries: | r-release (arm64):Landmarking_1.0.0.tgz, r-oldrel (arm64):Landmarking_1.0.0.tgz, r-release (x86_64):Landmarking_1.0.0.tgz, r-oldrel (x86_64):Landmarking_1.0.0.tgz |
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