Changes in version 0.1.1 (2026-11-03)                  

  - Rename the simulation time-length argument from T to TT and the
    internal local common-factor variable to comply with CRAN naming
    guidance. Statistical calculations and returned object schemas are
    unchanged.
  - Simulate grouped matrix-valued time series with heterogeneous
    dimensions, Gaussian or raw Student-t innovations, and optional
    model-component storage.
  - Generate piecewise ARFIMA series with stable AR(p) dynamics and
    shared or series-specific fractional memory.
  - Estimate global and local main effects and common components at
    supplied or automatically selected ranks, with Van Loan alignment
    and refitting by default and optional Procrustes alignment and ALS
    refitting.
  - Select the eight loading rank classes using unperturbed eigenvalue
    ratios, indexwise cross-group maxima for global spectra, and full
    consecutive-ratio search ranges. Check combined ranks against the
    IC1-centered spatial dimensions without rank repair.
  - Return structured model fits with print and summary methods,
    fitted-component reconstruction, and final residuals.
  - Detect global common factors and screen participating groups using a
    shared circular-shift bootstrap cutoff, with optional PSOCK
    execution and matching serial/parallel random inputs.