NEWS.md
In ctgimme: Continuous-Time Subgrouping with GIMME

ctgimme 0.0.12

Renamed the package and its complete public identity from ctsgimme to ctgimme. The primary functions are now ctgimme() and ctgimme_demo(); internal helper prefixes, returned-object attributes, help aliases, tests, citation metadata, and source archives use the same name. The old function names are not exported.
Added the public verbose argument. verbose = FALSE suppresses package progress messages and captures OpenMx optimizer/progress output, while warnings, errors, returned results, and saved artifacts remain available. Removed the unconditional console print of subgroup membership.
Replaced the non-executable wrapped example with a self-contained, timed toy fit that writes below the session temporary directory and always cleans its output.
Capped package-managed parallel execution at two workers in all contexts, strengthened documented input and control validation, and guaranteed an extractable membership object when subgroup detection falls back to one group.
Added a complete, ID-aligned ctgimme.membership attribute to every successful PAM or legacy clustering return; PAM results also retain their direct membership element.
Propagated the master session's library paths to PSOCK workers and exported the refactored initial-covariance helpers, preventing two-worker fits from failing after an R/library upgrade or during subject-model construction.
Hardened subject-artifact handling for portable filesystems: identifiers must be unique without regard to case, generated prefixes/suffixes are decoded literally, wildcard characters are never expanded during cleanup, and failed RDS fallback copies now raise an error.
Retained the 0.0.11 multisubject subgroup-model implementation: one shared parameter vector per subgroup, independently initialized subject likelihood blocks, requested exp(A * delta) plots, and one Subgroup_<g>Model.RDS artifact.

ctsgimme 0.0.11

Converted the historical single-file repository into an installable R package with generated help, tests, citation metadata, and standard GitHub installation. The 0.0.6 monolithic script and generated example outputs remain recoverable from the pre-package-0.0.6 Git tag.
Replaced the previous concatenated optional subgroup fit with one shared-parameter multisubject likelihood. Each subject receives an independent continuous-time state-space filter while the subgroup has one shared A/Q/R specification whose free entries are jointly optimized. Subject times are rebased locally to preserve elapsed intervals without making the likelihood depend on arbitrary start offsets.
Removed the chained estimator and its public selector and concatenation controls: subgroup.model.method, subgroup.time.mode, measurement.schedule, cycle.interval, insert.na.rows, and subject.gap. This intentionally changes calls that supplied those 0.0.10 arguments, including positional calls after time.intervals.
Retained time.intervals for producing exp(A * delta) discrete-time transition plots. Every successfully fitted subgroup also writes its parameter plot and Subgroup_<g>Model.RDS joint fitted model.
Expanded the margins on subgroup parameter and transition graphs so outer nodes, self-loops, titles, and edge labels remain visible in saved PNGs.
Added an optional internal P0.values override and factored the existing empirical initial-covariance calculation into reusable helpers.

ctsgimme 0.0.10

Reused one initialized PSOCK worker pool across group, subgroup, and individual fitting batches, avoiding repeated R-process and package startup costs during a single analysis.
Ensured package-owned worker pools are stopped after successful completion and during error unwinding.

ctsgimme 0.0.9

Added ME.free and PE.free options for estimating selected diagonal measurement-error and process-noise variances. Both default to FALSE, and off-diagonal noise covariances remain fixed to zero.
Prevented OpenMx's interactive imxReportProgress callback from being used by internal mxTryHard() fits. This applies to group, subgroup, and individual estimation paths.
Fixed subgroup parameter plotting by passing the drift edge labels to qgraph as a square matrix.
Expanded documentation and tests for the diagonal-noise options and the RStudio/OpenMx compatibility fixes.