Package: lambdastar 0.8.2

lambdastar: Measurement and Linear Hypothesis Models for Lambda Star

Estimates intrinsic and captured noncentrality from parallel measurements and evaluates the numerical parsimony functional for an explicitly encoded hypothesis matrix, formula, or compatible linear model. Includes common-case model comparisons, quantized entropy capacity, controlled temperature integration, and explicit singularity diagnostics. Uses manuscript projection estimates by default, with an explicit alternative population estimator. Supports common nuisance adjustment and ordinary case or cluster percentile bootstrap intervals, with diagnostics for undefined estimates and preserved model coding. Provides reusable row-bound design specifications and explicit conditional term blocks, named linear restrictions, explicit predictor-grid contrasts, and fixed or reevaluated basis recipes under a homogeneous isotropic measurement-fluctuation assumption. Supports explicit known-reference mean hypotheses and paired differences from parallel measurement pairs. Encodes fixed person-by-occasion models with parallel indicators, implicit person adjustment and whole-person bootstrap with distinct sampled copies. The underlying method is described in Hammes (2026) <doi:10.5281/zenodo.22962377>.

Authors:Mike Hammes [aut, cre, cph]