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DiffXTables  

Pattern Analysis Across Contingency Tables
View on CRAN: Click here


Download and install DiffXTables package within the R console
Install from CRAN:
install.packages("DiffXTables")

Install from Github:
library("remotes")
install_github("cran/DiffXTables")

Install by package version:
library("remotes")
install_version("DiffXTables", "0.1.3")



Attach the package and use:
library("DiffXTables")
Maintained by
Joe Song
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-04
Latest Update: 2021-05-16
Description:
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) (Zhang et al. 2015) , the Sharma-Song test (Sharma et al. 2021) , the heterogeneity test, the marginal-change test (Sharma et al. 2020) , and the strength test (Sharma et al. 2020) . 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) . 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.
How to cite:
Joe Song (2019). DiffXTables: Pattern Analysis Across Contingency Tables. R package version 0.1.3, https://cran.r-project.org/web/packages/DiffXTables. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.1 (2019-11-04 15:40), 0.0.2 (2019-11-12 19:40), 0.1.0 (2020-03-20 08:50), 0.1.1 (2020-08-16 16:52)
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