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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.