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
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
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
Bug fixes
- Updated CVXR integration for CVXR 1.8.x compatibility.
rclsp 0.4.0
Bug fixes
- Fixed potential projector Z dimension mismatch under repeated
solve() calls.
rclsp 0.3.0
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
Bug fixes
- Removed duplicated warnings.