hypothesize 1.0.0

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.

hypothesize 0.11.0

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))).

hypothesize 0.10.0

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

hypothesize 0.9

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