Continuous-Time Subgrouping with GIMME R package ctgimme version 0.1.0 Estimates group-, subgroup-, and individual-level dynamic structures from multivariate intensive longitudinal data using continuous-time state-space models. The subgrouping procedure combines iterative shared-path searches with recurrent-evidence feature screening and partitioning around medoids. The continuous-time group iterative multiple model estimation method is described in Park et al. (2025) <doi:10.1080/10705511.2024.2429544>. Software Depends: R (>= 4.1.0) Imports: cluster, gtools, matrixStats, methods, OpenMx, parallel, ps, qgraph, stats, utils Suggests: expm, igraph, nloptr, testthat (>= 3.2.0) Jonathan J. Park <imJPark@UCDavis.edu> Comprehensive R Archive Network (CRAN) Jonathan J. Park [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-6636-3504>), Nathan Xin Mills [aut, ctb] Apache License (== 2.0) 2026-08-28 application/tgz https://CRAN.R-project.org/package=ctgimme doi:10.32614/CRAN.package.ctgimme en-US