Package: lambdastar
Type: Package
Title: Measurement and Linear Hypothesis Models for Lambda Star
Version: 0.8.1
Authors@R: person("Mike", "Hammes", email = "mike.hammes@mikehammes.name", role = c("aut", "cre", "cph"))
Description: 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>.
License: Apache License (== 2.0)
Copyright: 2026 Mike Hammes
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, boot
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-09-26 09:34:09 UTC; mike
Author: Mike Hammes [aut, cre, cph]
Maintainer: Mike Hammes <mike.hammes@mikehammes.name>
Repository: CRAN
Date/Publication: 2026-10-07 07:50:07 UTC
