koopman.dmd 0.2.2

References in the Description field now use the CRAN-required authors (year) <doi:...> form, as requested in manual review. No code changes.

koopman.dmd 0.2.1

The Rust static archive is now removed from the build tree once the shared library is linked. R (>= 4.6.0) scans the symbol tables of linked static libraries, and the Rust standard library’s bundled runtime objects reference exit/abort entry points that are never linked into the final shared library; leaving the archive behind produced a spurious checking compiled code warning on CRAN’s Linux checks.

New dmdc(): Dynamic Mode Decomposition with control (Proctor, Brunton and Kutz, 2016), identifying the forced linear system x_{t+1} = A x_t + B u_t from snapshot pairs and control inputs. Supports joint estimation of A and B, a known-B mode that estimates only A, an optional reduced-order output projection, and autonomous multi-trajectory fits from explicit pairs (U = NULL).
New predict() method for dmdc objects simulates the identified system under a given control input sequence, or its zero-input free response.
The bundled Rust backend is updated to ‘koopman-dmd’ 0.2.0, which also fixes the full-A fallback and centered amplitudes in core DMD.

Initial release.
Core Dynamic Mode Decomposition (dmd()) with truncated SVD, optional mean centering, and automatic rank selection.
Extended DMD via lifting functions (polynomial, polynomial_cross, trigonometric, delay), for systems whose dynamics are nonlinear in the original coordinates.
Hankel-DMD (hankel_dmd()) using time-delay embedding, for scalar or low-dimensional signals.
Generalized Laplace Analysis (gla()) for computing Koopman eigenfunctions directly from weighted time averages.
Harmonic time averages (harmonic_time_average(), hta_convergence()) and mesochronic harmonic plots (mesochronic_compute()) for phase space analysis, with orbit classification via classify_phase_space().
Built-in maps for experimentation: Chirikov standard, Froeschlé, extended standard, Hénon, and logistic.
Analysis helpers: dmd_spectrum(), dmd_stability(), dmd_error(), dmd_residual(), dmd_dominant_modes(), and dmd_reconstruct().
Numerics are implemented in Rust and reached through ‘extendr’. The complete Rust dependency tree is bundled in src/rust/vendor.tar.xz, so the package builds without network access.