# hommel.test

From statmod v1.4.32
by Gordon Smyth

##### Test Multiple Comparisons Using Hommel's Method

Given a set of p-values and a test level, returns vector of test results for each hypothesis.

- Keywords
- htest

##### Usage

`hommel.test(p, alpha=0.05)`

##### Arguments

- p
numeric vector of p-values

- alpha
numeric value, desired significance level

##### Details

This function implements the multiple testing procedure of Hommel (1988).
Hommel's method is also implemented as an adjusted p-value method in the function `p.adjust`

but the accept/reject approach used here is faster.

##### Value

logical vector indicating whether each hypothesis is accepted

##### References

Hommel, G. (1988). A stagewise rejective multiple test procedure based on a modified Bonferroni test. *Biometrika*, **75**, 383-386.

Shaffer, J. P. (1995). Multiple hypothesis testing. *Annual Review of Psychology* **46**, 561-576. (An excellent review of the area.)

##### See Also

##### Examples

```
# NOT RUN {
p <- sort(runif(100))[1:10]
cbind(p,p.adjust(p,"hommel"),hommel.test(p))
# }
```

*Documentation reproduced from package statmod, version 1.4.32, License: GPL-2 | GPL-3*

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