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.