Changes in version 1.0.0 (2026-03-16)                  

Improvements since 0.11.0

  - lrt() now accepts standard R logLik objects (from stats::logLik()),
    deriving degrees of freedom automatically from their df attributes.
  - confint.z_test() now returns one-sided confidence bounds for
    one-sided tests (alternative = "less" or "greater").
  - adjust_pval() preserves all original test fields (estimate, se,
    etc.), so confint() works on adjusted tests.
  - union_test() computes min(p) directly instead of via De Morgan
    chain, avoiding floating-point cancellation at extreme p-values.
  - intersection_test() and union_test() use NA for stat and dof (these
    operations have no natural test statistic).
  - Input validation on all primitive constructors: z_test() rejects
    empty data and non-positive sigma; wald_test() rejects zero/negative
    se and singular vcov; score_test() rejects zero/negative
    fisher_info; lrt() validates positive dof and warns on negative LRT
    statistics.
  - All sapply() replaced with vapply() for type safety.
  - All examples use set.seed() for reproducibility.
  - R source is ASCII-only.
  - 227 tests, 100% line coverage.

                 Changes in version 0.11.0 (2026-02-28)                 

New Features

  - score_test(): Score (Lagrange multiplier) test, completing the
    Wald/LRT/Score trinity. Supports univariate and multivariate cases.
  - complement_test(): NOT operation — negates a test (p → 1-p).
    Connects to equivalence testing.
  - intersection_test(): AND combinator — rejects when all component
    tests reject. P-value = max(p_i).
  - union_test(): OR combinator — rejects when any component test
    rejects. Implemented via De Morgan's law: NOT(AND(NOT(...))).
  - invert_test(): Test-confidence duality — inverts any test
    constructor into a confidence set via grid search.
  - lower() and upper(): Generic accessors for confidence set bounds.
  - wald_test() now accepts a vcov matrix for multivariate testing.

Boolean Algebra

The combination of complement_test(), intersection_test(), and
union_test() forms a Boolean algebra over hypothesis tests. De Morgan's
laws hold by construction: union_test(a, b) is literally defined as
complement_test(intersection_test(complement_test(a),
complement_test(b))).

                 Changes in version 0.10.0 (2025-12-11)                 

New Features

  - z_test(): One-sample z-test, the simplest hypothesis test primitive
  - fisher_combine(): Combine independent p-values using Fisher's method
    (demonstrates closure property)
  - adjust_pval(): Multiple testing correction as a higher-order
    function
  - confint() methods for wald_test and z_test (test-CI duality)

Bug Fixes

  - Fixed wald_test() p-value calculation: now correctly uses
    chi-squared(1) distribution for the squared z-statistic

Improvements

  - All test constructors store their inputs for introspection
  - Enhanced roxygen2 documentation with mathematical formulas and
    examples
  - Added 83 testthat tests
  - Added introductory vignette explaining SICP-inspired design
    principles
  - Updated package description to reflect new functionality

                         Changes in version 0.9                         

  - Initial release with hypothesis_test(), lrt(), and wald_test()