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.zip(r-4.7-any)MSoutcomes_0.2.1.zip(r-4.6-any)
MSoutcomes_0.2.1.tar.gz(r-4.7-any)MSoutcomes_0.2.1.tar.gz(r-4.6-any)
MSoutcomes_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MSoutcomes/json (API)

# 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 238 downloads 6 exports 15 dependencies

Last updated from:113265ddfc. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK129
source / vignettesOK198
linux-releaseOK126
windows-develOK76
windows-releaseOK77
wasm-releaseOK96

Exports:CDEseqCDICDWPIRAspmsDxspmsDx_no_fss

Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr