longmixr: a tool for robust clustering of high-dimensional cross-sectional and longitudinal variables of mixed data types.

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/.