| Name : R-DiffXTables
| |
| Version : 0.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.7
| Date : 2024-06-14 11:24:14
|
| Group : Development/Libraries/Other
| Source RPM : R-DiffXTables-0.1.3-lp153.2.7.src.rpm
|
| Size : 0.25 MB
| |
| Packager : (none)
| |
| Summary : Pattern Analysis Across Contingency Tables
|
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)
< 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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
