Changes in version 2.0.0                        

Changes

  - Achieved alignment of the R implementation with the Python
    implementation.

Bug fixes

  - Fixed a variable-shadowing bug in .solve.instance() where the model
    block M was overwritten by the internal Bott-Duffin Gram matrix
    during the pseudoinverse step.

                 Changes in version 1.1.0 (2026-06-07)                  

Changes

  - Updated the minimum R version to R 4.3 to match CVXR 1.8.x
    requirements.
  - Restricted the supported CVXR version range to 1.8.x.

Bug fixes

  - Fixed AP/TM refinement canonicalization by preserving the original
    problem type during iterative refinement.
  - Reused the canonical right-hand-side vector during refinement to
    keep dimensions consistent across repeated calls to canonize.clsp().

                 Changes in version 1.0.0 (2026-05-16)                  

Changes

  - Preserved rcond in stored results.
  - Added custom .cond() function with a relative singular-value cutoff.
  - Added cond_tolerance argument to clsp().
  - Used Euclidean/Frobenius norms for corr() changes in zhat, z, and x.
  - Fixed a bootstrap bug in ttest().

Bug fixes

  - Improved alpha handling in clsp() to correctly support numeric
    scalars, numeric vectors, and NULL.
  - Fixed candidate alpha selection when non-finite values are supplied.
  - Restricted automatic alpha selection to cases where the final convex
    correction step is enabled.

                 Changes in version 0.5.0 (2026-03-09)                  

Bug fixes

  - Updated CVXR integration for CVXR 1.8.x compatibility.

                 Changes in version 0.4.0 (2026-02-19)                  

Bug fixes

  - Fixed potential projector Z dimension mismatch under repeated
    solve() calls.

                 Changes in version 0.3.0 (2026-01-30)                  

Bug fixes

  - Achieved full numerical parity between R and Python implementations.
  - Replaced MASS::ginv() with explicit SVD-based pseudoinverse logic.
  - Aligned Bott–Duffin tolerance handling with NumPy semantics.
  - Corrected row-wise reconstruction of X from the solution vector z.
  - Fixed zero-diagonal constraint handling for allocation (TM/AP)
    problems.

                 Changes in version 0.2.0 (2025-11-26)                  

Bug fixes

  - Removed duplicated warnings.