trend.test {CorrBin} | R Documentation |

## Test for increasing trend with correlated binary data

### Description

The `trend.test`

function provides a common interface to the trend tests
implemented in this package: `SO.trend.test`

,
`RS.trend.test`

, and `GEE.trend.test`

. The details of
each test can be found on their help page.

### Usage

```
trend.test(
cbdata,
test = c("RS", "GEE", "GEEtrend", "GEEall", "SO"),
exact = test == "SO",
R = 100,
control = soControl()
)
```

### Arguments

`cbdata` |
a |

`test` |
character string defining the desired test statistic. "RS"
performs the Rao-Scott test ( |

`exact` |
logical, should an exact permutation test be performed. Only an exact test can be performed for "SO". The default is to use the asymptotic p-values except for "SO". |

`R` |
integer, number of permutations for the exact test |

`control` |
an optional list of control settings for the stochastic order
("SO") test, usually a call to |

### Value

A list with two components and an optional "boot" attribute that
contains the detailed results of the permutation test as an object of class
`boot`

if an exact test was performed.

`statistic` |
numeric, the value of the test statistic |

`p.val` |
numeric, asymptotic one-sided p-value of the test |

### Author(s)

Aniko Szabo, aszabo@mcw.edu

### See Also

`SO.trend.test`

, `RS.trend.test`

, and
`GEE.trend.test`

for details about the available tests.

### Examples

```
data(shelltox)
trend.test(shelltox, test="RS")
set.seed(5724)
#R=50 is too low to get a good estimate of the p-value
trend.test(shelltox, test="RS", R=50, exact=TRUE)
```

*CorrBin*version 1.6.1 Index]