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.