ctgimme_demo: Run a Fast ctgimme Subgrouping Demonstration
In ctgimme: Continuous-Time Subgrouping with GIMME
ctgimme_demo R Documentation
Run a Fast ctgimme Subgrouping Demonstration
Description
Demonstrates the recurrent-evidence screening, distance calculation, and
PAM subgroup selection used by ctgimme() without fitting OpenMx models.
The deterministic example is deliberately small and completes in well under
a second.
Usage
ctgimme_demo()
Value
A list with the synthetic signed path-score features, the
feature-selection diagnostics, the mean Manhattan distance matrix,
candidate silhouette widths in candidates, and the named subgroup
membership.
See Also
ctgimme()
Examples
demo_result <- ctgimme_demo()
demo_result$membership
demo_result$candidates
ctgimme documentation built on Aug. 24, 2026, 5:13 p.m.
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| ctgimme_demo | R Documentation |
Run a Fast ctgimme Subgrouping Demonstration
Description
Demonstrates the recurrent-evidence screening, distance calculation, and
PAM subgroup selection used by ctgimme() without fitting OpenMx models.
The deterministic example is deliberately small and completes in well under
a second.
Usage
ctgimme_demo()
Value
A list with the synthetic signed path-score features, the
feature-selection diagnostics, the mean Manhattan distance matrix,
candidate silhouette widths in candidates, and the named subgroup
membership.
See Also
ctgimme()
Examples
demo_result <- ctgimme_demo()
demo_result$membership
demo_result$candidates
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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