Crate sim_lib_numbers_stats 

Probability, descriptive statistics, and fairness metric helpers for f64 number-domain data.

Descriptive statistics and disparate-impact helpers also expose Claim surfaces. The Claim values carry their subject, predicate, and evidence table as inspectable runtime data, so callers can browse both the computed metric and the inputs used to justify it.

Structs

BinaryOutcomeCounts

Counts for a binary selection or outcome table.

DisparateImpact

Disparate-impact summary for two binary-outcome groups.

FairnessClaimValue

A first-class runtime object wrapping the fairness Claim and its evidence.

FairnessEvidence

Evidence carried by the disparate-impact fairness Claim.

StatsClaimEvidence

Evidence carried by a descriptive statistics Claim.

StatsClaimValue

A first-class runtime object wrapping a descriptive statistics Claim.

StatsNumbersLib

Library that installs the runtime statistics functions.

Enums

StatsError

Errors returned by probability, statistics, and fairness helpers.

Functions

bayesian_update

Computes prior * likelihood / evidence and validates the posterior.

bayesian_update_binary

Computes a binary-test posterior from prior, true-positive, and false-positive rates.

disparate_impact

Computes disparate impact and the four-fifths pass/fail flag.

entropy

Computes Shannon entropy in bits for a probability vector that sums to one.

fairness_claim

Builds the public disparate-impact fairness Claim and interns its evidence object.

fairness_claim_value

Wraps a fairness Claim as a runtime value.

four_fifths_ratio

Computes the comparison/reference rate ratio used by the four-fifths rule.

mean

Computes the arithmetic mean of finite values.

population_variance

Computes population variance with divisor n.

sample_variance

Computes sample variance with divisor n - 1.

stats_claims_symbol

Returns the symbol bound to the stats/claims batch operation.

stats_disparate_impact_claim_symbol

Returns the symbol bound to the stats/disparate-impact-claim operation.

stats_entropy_claim_symbol

Returns the symbol bound to the stats/entropy-claim operation.

stats_mean_claim_symbol

Returns the symbol bound to the stats/mean-claim operation.

stats_result_claim

Builds the public descriptive statistics Claim and interns its evidence object.

stats_result_claim_value

Wraps a descriptive statistics Claim as a runtime value.

stats_variance_claim_symbol

Returns the symbol bound to the stats/variance-claim operation.

variance

Computes population variance.

Type Aliases

StatsResult

Result alias for the statistics helpers, fixing the error to StatsError.