NEWS
rclsp 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.
rclsp 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().
rclsp 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.
rclsp 0.5.0 (2026-03-09)
Bug fixes
- Updated CVXR integration for CVXR 1.8.x compatibility.
rclsp 0.4.0 (2026-02-19)
Bug fixes
- Fixed potential projector Z dimension mismatch under repeated solve() calls.
rclsp 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.
rclsp 0.2.0 (2025-11-26)
Bug fixes
- Removed duplicated warnings.