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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.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))).
z_test(): One-sample z-test, the simplest hypothesis
test primitivefisher_combine(): Combine independent p-values using
Fisher’s method (demonstrates closure property)adjust_pval(): Multiple testing correction as a
higher-order functionconfint() methods for wald_test and
z_test (test-CI duality)wald_test() p-value calculation: now correctly
uses chi-squared(1) distribution for the squared z-statistichypothesis_test(),
lrt(), and wald_test()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.
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