The package implements non-constant functional chi-square tests (Zhang and Song, 2013). Such tests offer an advantage over regression analysis when a parametric form cannot be reliably assumed for the underlying function. It requires data from two or more variables be formatted as a contingency table. Continuous variables must be discretized first which can be done by using the Ckmeans.1d.dp function.

Chi-Square Tests for Non-Parametric Functional Dependencies
Statistical hypothesis testing methods for non-parametric functional dependencies based on chi-square statistics. These tests were designed to reveal causality based on evidence from non-parametric functional dependencies. It implements an asymptotic non-constant functional chi-square test, an exact functional test, and a comparative functional chi-square test. The normalized functional chi-square test was used by the Best Performer NMSUSongLab in DREAM8 Breast Cancer Network Inference Challenges. These tests offer an advantage over regression analysis when a parametric functional form cannot be assumed.

Statistical hypothesis testing methods for non-parametric functional dependencies based on chi-square statistics. These tests were designed to reveal causality based on evidence from non-parametric functional dependencies. They include an asymptotic non-constant functional chi-square test, an exact functional test, and a comparative functional chi-square test. The normalized functional chi-square test was used by the Best Performer NMSUSongLab in DREAM8 Breast Cancer Network Inference Challenges. These tests offer an advantage over regression analysis when a parametric functional form cannot be assumed.

Chi-Square and Exact Tests for Non-Parametric Functional
Dependencies
Statistical hypothesis testing methods for non-parametric functional dependencies based on asymptotic chi-square and exact statistics. These tests were designed to reveal causality based on evidence from functional dependencies. They include an asymptotic non-constant functional chi-square test, an exact functional test, and a comparative functional chi-square test. The normalized functional chi-square test was used by the Best Performer NMSUSongLab in DREAM8 Breast Cancer Network Inference Challenges. These tests offer an advantage over regression analysis when a parametric functional form cannot be assumed.