VCMoE 0.2.0
Fitting engines
- Adds stable single-response joint-path EM through
vcmoe_fit(..., engine = "joint_path_em").
- Keeps
engine = "local_grid_em" as the default and
preserves the 0.1.0 local-grid numerical path when engine
is omitted.
- Adds dense-grid cost guardrails, nearest-grid observation
assignment, joint-path convergence traces, and optional progress
logging.
Inference and selection
- Makes analytic confidence bands available through the common
fitted-object interface for both engines. Joint-path bands identify
their JASA local-likelihood sandwich plug-in scope and expose
score-imbalance diagnostics.
- Makes parametric bootstrap refits and bandwidth selection
engine-aware.
- Adds sample-weighted projected joint-path constrained-null fitting
for GLRT and
vcmoe_fit_reduced() while retaining the
established local-grid BFGS null optimizer. Joint-path GLRT uses
sample-level nearest-grid likelihood contributions and blocks failed or
nonconverged null fits.
- Changes the GLRT calibration default to
"none". The
statistic is available without a reference distribution; analytic
Epanechnikov calibration is an explicit approximation, and parametric
bootstrap calibration is engine-preserving.
- Adds criterion, projection, constrained-MLE, calibration, and
theory-status metadata to GLRT results. Analytic confidence bands now
state whether their covariance target matches the fitted estimator and
which shared-path and label uncertainties are excluded.
Scope
- Version 0.2.0 remains a single-response package for Gaussian,
Binomial, and Negative-Binomial models with 2 through 10
components.