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:

Reference manual:

ctgimme.html , ctgimme.pdf

Downloads:

Package source:	ctgimme_0.0.12.tar.gz
Windows binaries:	r-devel: ctgimme_0.0.12.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): ctgimme_0.0.12.tgz, r-oldrel (arm64): ctgimme_0.0.12.tgz, r-release (x86_64): ctgimme_0.0.12.tgz, r-oldrel (x86_64): ctgimme_0.0.12.tgz

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