Package: MSoutcomes 0.2.0
Tomas Kalincik
MSoutcomes: CORe Multiple Sclerosis Outcomes Toolkit
Enable operationalized evaluation of disease outcomes in multiple sclerosis. ‘MSoutcomes’ requires longitudinally recorded clinical data structured in long format. The package is based on the research developed at Clinical Outcomes Research unit (CORe), University of Melbourne and Neuroimmunology Centre, Royal Melbourne Hospital. Kalincik et al. (2015) <doi:10.1093/brain/awv258>. Lorscheider et al. (2016) <doi:10.1093/brain/aww173>. Sharmin et al. (2022) <doi:10.1111/ene.15406>. Dzau et al. (2023) <doi:10.1136/jnnp-2023-331748>.
Authors:
MSoutcomes_0.2.0.tar.gz
MSoutcomes_0.2.0.tar.gz(r-4.5-noble)MSoutcomes_0.2.0.tar.gz(r-4.4-noble)
MSoutcomes_0.2.0.tgz(r-4.4-emscripten)MSoutcomes_0.2.0.tgz(r-4.3-emscripten)
MSoutcomes.pdf |MSoutcomes.html✨
MSoutcomes/json (API)
NEWS
# Install 'MSoutcomes' in R: |
install.packages('MSoutcomes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- SampleData - Expanded disability status scale (EDSS) score and functional system score (FSS) recorded at each visit
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 months agofrom:fb896c0691. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 27 2024 |
R-4.5-linux | OK | Oct 27 2024 |
Exports:CDEseqCDICDWPIRAspmsDxspmsDx_no_fss
Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr