Package: MSoutcomes 0.2.1

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:Sifat Sharmin [aut], Johannes Lorscheider [aut], Nathaniel Lizak [aut], Sam Harding-Forrester [aut], Winston Dzau [aut], Jannis Müller [aut], Izanne Roos [aut], Tomas Kalincik [aut, cre, cph]

MSoutcomes_0.2.1.tar.gz
MSoutcomes_0.2.1.tar.gz(r-4.5-noble)MSoutcomes_0.2.1.tar.gz(r-4.4-noble)
MSoutcomes_0.2.1.tgz(r-4.4-emscripten)MSoutcomes_0.2.1.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'))
Datasets:
  • SampleData - Expanded disability status scale (EDSS) score and functional system score (FSS) recorded at each visit

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 664 downloads 6 exports 16 dependencies

Last updated 17 days agofrom:113265ddfc. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-linuxOKMar 06 2025
R-4.4-linuxOKMar 06 2025

Exports:CDEseqCDICDWPIRAspmsDxspmsDx_no_fss

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr