# Trimmed Simes test for intersections of two hypotheses and otherwise weighted Bonferroni-test

Source:`R/gMCP.extended.R`

`bonferroni.trimmed.simes.test.Rd`

Trimmed Simes test for intersections of two hypotheses and otherwise weighted Bonferroni-test

## Usage

```
bonferroni.trimmed.simes.test(
pvalues,
weights,
alpha = 0.05,
adjPValues = FALSE,
verbose = FALSE,
...
)
```

## Arguments

- pvalues
A numeric vector specifying the p-values.

- weights
A numeric vector of weights.

- alpha
A numeric specifying the maximal allowed type one error rate. If

`adjPValues==TRUE`

(default) the parameter`alpha`

is not used.- adjPValues
Logical scalar. If

`TRUE`

(the default) an adjusted p-value for the weighted test is returned. Otherwise if`adjPValues==FALSE`

a logical value is returned whether the null hypothesis can be rejected.- verbose
Logical scalar. If

`TRUE`

verbose output is generated.- ...
Further arguments possibly passed by

`gMCP`

which will be used by other test procedures but not this one.