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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.