Description: We design algorithms with linear time complexity with respect to the dimension for three commonly studied correlation structures, including exchangeable, decaying-product and K-dependent correlation structures, and extend the algorithms to generate binary data of general non-negative correlation matrices with quadratic time complexity. Jiang, W., Song, S.,  Hou, L. and Zhao, H. "A set of efficient methods to generate high-dimensional binary data with correlation structures." Submitted.

Author: Wei Jiang [aut], Shuang Song [aut, cre], Lin Hou [aut] and Hongyu Zhao [aut]
Description: We design algorithms with linear time complexity with respect to the dimension for three commonly studied correlation structures, including exchangeable, decaying-product and K-dependent correlation structures, and extend the algorithms to generate binary data of general non-negative correlation matrices with quadratic time complexity. Jiang, W., Song, S.,  Hou, L. and Zhao, H. "A set of efficient methods to generate high-dimensional binary data with specified correlation structures." The American Statistician. See <doi:10.1080/00031305.2020.1816213> for a detailed presentation of the method.

Title: Set-Based Differential Covariance Testing for Genomics
Description: We describe four different summary statistics, to ensure power and flexibility under various settings, including a new connectivity statistic that is sensitive to changes in overall covariance magnitude.

Title: Correct Mass Isotopologue Distribution Vectors
Description: In metabolic flux experiments tracer molecules (often glucose containing
labelled carbon) are incorporated in compounds measured using mass spectrometry.
The mass isotopologue distributions of these compounds needs to be corrected for
natural abundance of labelled carbon and other effects, which are specific on the
compound and ionization technique applied. This package provides functions to
correct such effects in gas chromatography atmospheric pressure chemical ionization