demo-clustering-longitudinal-data
Supplementary materials for the manuscript "Clustering of longitudinal data: A tutorial on a variety of approaches" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel (2021)
https://github.com/philips-labs/demo-clustering-longitudinal-data
Science Score: 44.0%
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Low similarity (7.7%) to scientific vocabulary
Keywords
cluster-analysis
longitudinal-analysis
r
tutorial
Last synced: 4 months ago
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Supplementary materials for the manuscript "Clustering of longitudinal data: A tutorial on a variety of approaches" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel (2021)
Basic Info
- Host: GitHub
- Owner: philips-labs
- License: mit
- Language: R
- Default Branch: main
- Homepage: https://arxiv.org/abs/2111.05469
- Size: 18.6 KB
Statistics
- Stars: 11
- Watchers: 3
- Forks: 9
- Open Issues: 0
- Releases: 0
Topics
cluster-analysis
longitudinal-analysis
r
tutorial
Created about 4 years ago
· Last pushed about 4 years ago
Metadata Files
Readme
License
Citation
README.md
This repository contains the R scripts used in the analysis of the case study of the manuscript.
Useful links
- MixTVEM source code used in the MixTVEM demo analysis - https://github.com/dziakj1/MixTVEM
- lcmm R package, used for estimating GMM and GBTM - https://cran.r-project.org/package=lcmm
- kml R package, used for estimating KmL - https://cran.r-project.org/package=kml
- mclust R package, used for estimating LLPA - https://cran.r-project.org/package=mclust
- latrend R package: The longitudinal clustering framework that we have created, originating from the learnings of this work - https://github.com/philips-software/latrend
Getting started
- Either load the Rstudio project file
demo.Rproj, or start an R session with the working directory set to the root repository directory. - Install required packages and dependencies
install.packages(c("assertthat", "data.table", "ggdendro", "ggplot2", "IMIFA", "kml", "lcmm", "lpSolve", "magrittr", "MASS", "matrixStats", "mclust", "nlme", "scales"), dependencies = TRUE) - In case you want to run the MixTVEM analysis, you'll need to fetch
MixTVEM.Rfrom https://github.com/dziakj1/MixTVEM
You should now be able to run any of the analysis scripts.
Owner
- Name: Philips Labs
- Login: philips-labs
- Kind: organization
- Location: Netherlands
- Repositories: 131
- Profile: https://github.com/philips-labs
Philips Labs - Projects in development
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
preferred-citation:
type: article
title: "Clustering of longitudinal data: A tutorial on a variety of approaches"
year: 2021
authors:
- family-names: "Den Teuling"
given-names: "Niek G. P."
orcid: "https://orcid.org/0000-0003-1026-5080"
- family-names: "Pauws"
given-names: "Steffen C."
orcid: "https://orcid.org/0000-0003-2257-9239"
- family-names: "van den Heuvel"
given-names: "Edwin R."
orcid: "https://orcid.org/0000-0001-9157-7224"
start: 1 # First page number
end: 37 # Last page number
version: v1
status: preprint
url: "https://arxiv.org/abs/2111.05469"
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