Installation
About
Implementation of SING algorithm to extract joint and individual non-Gaussian components from two datasets. SING uses an objective function that maximizes the skewness and kurtosis of latent components with a penalty to enhance the similarity between subject scores. Unlike other existing methods, SING does not use PCA for dimension reduction, but rather uses non-Gaussianity, which can improve feature extraction. Benjamin B.Risk, Irina Gaynanova (2021) doi:10.1214/21-AOAS1466.
Citation | singR citation info |
Key Metrics
Downloads
Yesterday | 5 0% |
Last 7 days | 34 -43% |
Last 30 days | 2.017 -46% |
Last 90 days | 8.211 -55% |
Last 365 days | 73.621 +3231% |
Maintainer
Maintainer | Liangkang Wang |