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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.