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ctgimme: Continuous-Time Subgrouping with GIMME
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>.
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Package details |
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| Author | Jonathan J. Park [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-6636-3504>), Nathan Xin Mills [aut, ctb] |
| Maintainer | Jonathan J. Park <imJPark@UCDavis.edu> |
| License | Apache License (== 2.0) |
| Version | 0.0.12 |
| URL | https://github.com/JPark93/ctgimme |
| Package repository | View on CRAN |
| Installation |
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