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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.12 |
rolling linux/jammy R-4.5 | ctgimme_0.0.12.tar.gz |
168.8 KiB |
0.0.12 |
rolling linux/noble R-4.5 | ctgimme_0.0.12.tar.gz |
168.7 KiB |
0.0.12 |
rolling source/ R- | ctgimme_0.0.12.tar.gz |
51.9 KiB |
0.0.12 |
latest linux/jammy R-4.5 | ctgimme_0.0.12.tar.gz |
168.8 KiB |
0.0.12 |
latest linux/noble R-4.5 | ctgimme_0.0.12.tar.gz |
168.7 KiB |
0.0.12 |
latest source/ R- | ctgimme_0.0.12.tar.gz |
51.9 KiB |
0.0.12 |
2026-04-23 source/ R- | ctgimme_0.0.12.tar.gz |
0 B |