longmixr: a tool for robust clustering of high-dimensional cross-sectional and longitudinal variables of mixed data types.
Bioinformatics
; 40(4)2024 Mar 29.
Article
em En
| MEDLINE
| ID: mdl-38485697
ABSTRACT
SUMMARY:
Accurate clustering of mixed data, encompassing binary, categorical, and continuous variables, is vital for effective patient stratification in clinical questionnaire analysis. To address this need, we present longmixr, a comprehensive R package providing a robust framework for clustering mixed longitudinal data using finite mixture modeling techniques. By incorporating consensus clustering, longmixr ensures reliable and stable clustering results. Moreover, the package includes a detailed vignette that facilitates cluster exploration and visualization. AVAILABILITY AND IMPLEMENTATION The R package is freely available at https//cran.r-project.org/package=longmixr with detailed documentation, including a case vignette, at https//cellmapslab.github.io/longmixr/.
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Software
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article