spliv_sensitivity_path() now reuses invariant formula
parsing, complete-case filtering, model matrices, fixed-effect
residualization, cluster alignment, pattern evaluation, instrument
scaling, and 2SLS design calculations across its delta grid. This is an
internal, numerically equivalent optimization: the public API and
statistical results are not intended to change.spliv() is the sole recommended primary estimator.spliv_fit.plausexog()/conley_*() names and
implementation helper exports.spliv() now defaults to conventional UCI at
delta = 0 when no sensitivity method or bound is supplied,
and obsolete BPE arguments were removed.sampling or conservative
covariance modes in standalone validation and final estimation.dev/. Corresponding sensitivity-interval endpoints agreed
to numerical precision. The optimized sensitivity-path implementation
was faster than repeated adjusted-outcome refitting in every benchmarked
design. Allocated memory was substantially lower in many cases but was
not uniformly lower, including one large design with approximately 25%
greater allocation.Initial public staging release. This version provides uniform and patterned UCI/LTZ sensitivity analysis, sensitivity paths and tipping points, fixed-effect residualization, confirmatory BPE design/validation, and compatibility wrappers for the earlier plausibly-exogenous API.