Conditional Independence (CI) Tests

Selector utilities and built-in CI test implementations.

Selector

get_ci_test([test, data])

Return an instantiated CI test object given a test name, instance, or data.

Available Tests

ChiSquare(data)	Pearson chi-square test for conditional independence on discrete data.
FisherZ(data)	Fisher's Z test for conditional independence on continuous data.
GSq(data)	G-squared test for conditional independence on discrete data.
GCM(data[, estimator])	Generalized Covariance Measure (GCM) [1] test for conditional independence.
IndependenceMatch([independencies])	Check if X ⊥⊥ Y | Z is in independences.
LogLikelihood(data)	Log-likelihood ratio test for conditional independence on discrete data.
ModifiedLogLikelihood(data)	Modified log-likelihood ratio test for conditional independence on discrete data.
Pearsonr(data)	Partial Correlation test for conditional independence.
PearsonrEquivalence(data[, delta_threshold])	Pearson equivalence test [1] for conditional independence on continuous data.
PillaiTrace(data[, seed])	Pillai's trace test for conditional independence with mixed data [1].
PowerDivergence(data[, lambda_])	Cressie-Read power divergence test for conditional independence on discrete data [1].