Package: cdcsis 2.0.5

Canhong Wen

cdcsis: Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference

Conditional distance correlation <doi:10.1080/01621459.2014.993081> is a novel conditional dependence measurement of two multivariate random variables given a confounding variable. This package provides conditional distance correlation, performs the conditional distance correlation sure independence screening procedure for ultrahigh dimensional data <https://www3.stat.sinica.edu.tw/statistica/J28N1/J28N114/J28N114.html>, and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.

Authors:Wenhao Hu [aut], Mian Huang [aut], Wenliang Pan [aut], Xueqin Wang [aut], Canhong Wen [aut, cre], Yuan Tian [aut], Heping Zhang [aut], Jin Zhu [aut]

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Bug tracker:https://github.com/mamba413/cdcsis/issues

4 exports 1 stars 0.82 score 13 dependencies 1 dependents 24 scripts 371 downloads

Last updated 25 days agofrom:efe5d74ef9. Checks:OK: 2. Indexed: yes.

Exports:cdcorcdcovcdcov.testcdcsis

Dependencies:FNNkernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmepracmaRcpp