ctgimme 0.1.0
- Removed the package-wide two-worker ceiling.
cores
still defaults to one, while explicit requests are now reduced only to
the number of subjects.
- Relayed warning conditions raised by PSOCK subject-fit workers
through the main R process during parallel execution, without changing
fitting or selection behavior.
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.