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Joe Song [aut] | Title: | Uniform Exact Functional Tests for Contingency Tables |
|---|---|
| Description: | Testing whether two discrete variables have a functional relationship under null distributions where the two variables are statistically independent with fixed marginal counts. The fast enumeration algorithm was based on (Nguyen et al. 2020) <doi:10.24963/ijcai.2020/372>. |
| Authors: | Yiyi Li [aut, cre] ,
Joe Song [aut] |
| Maintainer: | Yiyi Li <[email protected]> |
| License: | LGPL (>= 3) |
| Version: | 1.0.0 |
| Built: | 2024-11-29 08:49:05 UTC |
| Source: | CRAN |
Perform the uniform exact functional test on a contingency table to determine if the column variable is a function of the row variable.
UEFT(input, correct, log.p)UEFT(input, correct, log.p)
input |
A matrix of nonnegative integers representing a contingency table. Column is the casual and row is the effect. |
correct |
Logical; if implement the continuity correction. The description is at details. The default is TRUE. |
log.p |
Logical; if TRUE, the p-value is given as log(p). The default is FALSE. The default is FALSE. |
The uniform idea was implementated using uniform marginal distribution of a square table as null hypothesis. The continuity correction algorithm
The exact p-value of the test.
Yiyi Li, Joe Song