logisticRegression {BiSeq} | R Documentation

## Estimates and tests a group factor

### Description

It is used to fit a linear model on the log odds of each (smoothed) methylation level. The first independent variable in `formula` is tested to be unequal to zero.

### Usage

    logisticRegression(formula, link, object, mc.cores)

### Arguments

`formula` | An object of class `formula`. For the first independent variable the p-value and the effect on methylation is returned.
`link` | A character specifying the link function. Currently, `"logit"`, `"probit"`, `"cloglog"`, `"log"`, `"loglog"` are supported.
`object` | A `BSrel` object.
`mc.cores` | Passed to `mclapply`.

### Value

A `data.frame` containing the position, chromosome, P value, estimated methylation level in group 1 and group 2 and methylation difference of group 1 and group 2.

### Author(s)

Katja Hebestreit

### See Also

`mclapply`, `glm`

### Examples

    data(predictedMeth)

    logisticResults <- logisticRegression(formula = ~group, link = "logit",
                                          object = predictedMeth)

[Package BiSeq version 1.26.0 Index]