robscale 0.1.1

• Consistent NA handling: adm() now raises an error when na.rm = FALSE and NAs are present, matching robLoc() and robScale() behavior.
• Replaced manual new[]/delete[] with std::unique_ptr for RAII memory safety in all C++ estimator functions.
• Removed unused scoring-iteration constants (PSI_NORM_CONST, INV_PSI_NORM_CONST) from robust_core.h.
• Hoisted loop-invariant half_inv_s above the Newton–Raphson loop in rob_loc.cpp.
• Added Mermaid algorithm flowcharts for robLoc and robScale to README.
• Expanded test suite: explicit-center tests for adm(), maxit edge cases for robLoc() and robScale(), sorting network verification for n = 2–8.
• Added cph role to Authors@R in DESCRIPTION.

robscale 0.1.0

Initial release.

• Three functions: adm(), robLoc(), robScale() implementing the robust location and scale M-estimators of Rousseeuw & Verboven (2002) for very small samples.
• API-compatible drop-in replacement for the revss package.
• C++17 implementation via Rcpp with:
  • Newton–Raphson iteration for location (quadratic convergence).
  • Algebraic tanh(x/2) identity for the logistic psi function with platform-vectorized bulk evaluation (Apple Accelerate on macOS, OpenMP SIMD hints on Linux).
  • Floyd–Rivest O(n) selection for median computation.
  • Optimal sorting networks for n <= 8.
  • Stack-allocated arena buffers (zero heap allocation for n <= 512).
• Numerical equivalence with revss verified across 5,400 systematic comparisons (tolerance: sqrt(.Machine$double.eps)).