DiffXTables

Statistical hypothesis testing of pattern heterogeneity via differences in underlying distributions across multiple contingency tables. Five tests are included: the comparative chi-squared test (Song et al. 2014) doi:10.1093/nar/gku086 (Zhang et al. 2015) doi:10.1093/nar/gkv358, the Sharma-Song test (Sharma et al. 2021) doi:10.1093/bioinformatics/btab240, the heterogeneity test, the marginal-change test (Sharma et al. 2020) doi:10.1145/3388440.3412485, and the strength test (Sharma et al. 2020) doi:10.1145/3388440.3412485. Under the null hypothesis that row and column variables are statistically independent and joint distributions are equal, their test statistics all follow an asymptotically chi-squared distribution. A comprehensive type analysis categorizes the relation among the contingency tables into type null, 0, 1, and 2 (Sharma et al. 2020) doi:10.1145/3388440.3412485. They can identify heterogeneous patterns that differ in either the first order (marginal) or the second order (differential departure from independence). Second-order differences reveal more fundamental changes than first-order differences across heterogeneous patterns.

Last 30 days

This package has been downloaded 213 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.

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Last 365 days

This package has been downloaded 2,687 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 32 downloads.

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