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compositional.mle 1.0.0

CRAN Release

• First CRAN release
• Moved algebraic.mle from Imports to Depends so that generics (params(), se(), confint(), loglik_val(), aic(), nparams(), vcov()) are available immediately when the package is loaded
• Converted \dontrun{} to \donttest{} in examples (CRAN policy)
• Added hypothesize to Suggests
• Added CI via GitHub Actions

compositional.mle 0.2.0

New Features

• Simulated annealing solver (sim_anneal())
• Coordinate ascent solver (coordinate_ascent())
• race() function for explicit parallel solver racing with future support
• chain() function for sequential composition with early stopping
• Convergence diagnostics: plot.mle_numerical() and optimization_path()
• Derivative caching in mle_problem() to avoid redundant computation
• Verbose/progress output via cli for long-running solvers
• Trace aggregation with merge_traces() across composed solvers

Documentation

• Four vignettes: getting-started, theory-and-intuition, case-studies, strategy-design
• pkgdown site at https://queelius.github.io/compositional.mle/

Bug Fixes

• Fixed R CMD check issues (missing imports, example errors)
• Fixed LICENSE copyright holder

compositional.mle 0.1.0

• Initial release with core solver factories and composition operators
• Solvers: gradient_ascent, newton_raphson, bfgs, lbfgsb, nelder_mead, grid_search, random_search
• Composition: %>>% (sequential), %|% (racing), with_restarts(), unless_converged()
• Problem specification with mle_problem() and constraint support
• Tracing system for optimization iteration recording
• Penalty/regularization transformers (L1, L2, elastic net)

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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