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>.
| Version: |
0.0.12 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
cluster, gtools, matrixStats, methods, OpenMx, parallel, ps, qgraph, stats, utils |
| Suggests: |
expm, igraph, nloptr, testthat (≥ 3.2.0) |
| Published: |
2026-08-24 |
| DOI: |
10.32614/CRAN.package.ctgimme (may not be active yet) |
| Author: |
Jonathan J. Park 
[aut, cre, cph],
Nathan Xin Mills [aut, ctb] |
| Maintainer: |
Jonathan J. Park <imJPark at UCDavis.edu> |
| BugReports: |
https://github.com/JPark93/ctgimme/issues |
| License: |
Apache License (== 2.0) |
| URL: |
https://github.com/JPark93/ctgimme |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
ctgimme citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
ctgimme results |
Documentation:
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