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.