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exposureEM 0.3.0

• All three component links (cloglog, logit, and log) now support EM, direct Marquardt Newton-Raphson, and hybrid fitting.
• Added analytic observed-likelihood derivatives for logit and log. The hybrid uses the chosen link throughout, and final inference uses its unmodified observed Hessian. Log-link proposals outside the probability domain are rejected by backtracking. No new dependencies or public controls were added.
• Scaled the direct line-search rounding allowance to the summed likelihood to prevent false failures near a root on large samples.
• Expanded derivative, EM/direct/hybrid agreement, covariance, rare-probability, and domain-backtracking tests; updated examples and algorithm documentation.
• Version 0.2.0 Win-builder results do not validate this extension. Repeat R-release and R-devel checks on the 0.3.0 archive before submission.

exposureEM 0.2.0

• Added direct observed-likelihood Marquardt Newton-Raphson and EM-initialized hybrid fitting through exposure_fit(). Pure EM remains available through exposure_em(); no ES algorithm is included.
• Verified all three EM component links, their full Newton M-steps, Louis information, and the cloglog observed derivatives against independent numerical differentiation and likelihood optimization.
• EM termination now checks observed likelihood change and the unmodified score-curvature measure as well as the selected change criterion. Direct termination consistently applies the three change and curvature checks. Final observed scores and Newton decrements are returned for all methods.
• Reject indefinite covariance information and constant cloglog exposure proportions. Validate integer limits, named controls, logical settings, finite covariates, response shape, and unsupported formula offsets.
• Stabilized structural-zero exposure calculations and rare-event direct derivatives. The EM Q ascent check now allows rounding error proportional to objective size; tiny M-step changes also require a small score.
• Fixed missing-exposure prediction for logit, domain checking with mixed missing and invalid predictions, and na.exclude restoration in standard prediction, fitted-value, and residual methods.
• Hybrid warm-up is documented as an upper iteration limit and respects each phase’s trace setting. Documentation now explains inference assumptions, convergence limitations, returned fields, and the absence of a proven hybrid runtime advantage.
• Added self-contained numerical safeguard tests. The restricted-data ABCD comparison remains in the local source tree but is excluded from source archives; the installed smoke-test example is portable.

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.
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