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.