ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients

作者：Seong Ho Kim · 发表于：Communications for Statistical Applications and Methods · 年份：2015 · DOI：10.5351/csam.2015.22.6.665 · 被引用次数：1191 · 研究领域：Bioinformatics and Genomic Networks、Gene expression and cancer classification、Metabolomics and Mass Spectrometry Studies

Lack of a general matrix formula hampers implementation of the semi-partial correlation, also known as part correlation, to the higher-order coefficient.This is because the higher-order semi-partial correlation calculation using a recursive formula requires an enormous number of recursive calculations to obtain the correlation coefficients.To resolve this difficulty, we derive a general matrix formula of the semi-partial correlation for fast computation.The semi-partial correlations are then implemented on an R package ppcor along with the partial correlation.Owing to the general matrix formulas, users can readily calculate the coefficients of both partial and semi-partial correlations without computational burden.The package ppcor further provides users with the level of the statistical significance with its test statistic.