Pattern Analysis Across Contingency Tables R package DiffXTables version 0.1.3 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. Software Depends: R (>= 3.0), pander Imports: Rdpack (>= 0.6-1) Suggests: Ckmeans.1d.dp, FunChisq, knitr, rmarkdown, testthat Joe Song <joemsong@cs.nmsu.edu> Comprehensive R Archive Network (CRAN) Ruby Sharma [aut] (ORCID: <https://orcid.org/0000-0001-7774-4065>), Joe Song [aut, cre] (ORCID: <https://orcid.org/0000-0002-6883-6547>) LGPL (>= 3) 2021-05-16 application/tgz https://CRAN.R-project.org/package=DiffXTables doi:10.32614/CRAN.package.DiffXTables