uniprobs {CorrBin} | R Documentation |

## Extract univariate marginal probabilities from joint probability arrays

### Description

Calculates the marginal probability of each event type for exchangeable correlated multinomial
data based on joint probability estimates calculated by the `jointprobs`

function.

### Usage

```
uniprobs(jp, type = attr(jp, "type"))
```

### Arguments

`jp` |
the output of |

`type` |
one of c("averaged","cluster","mc") - the type of joint probability. By default,
the |

### Value

a list of estimated probability of each outcome by treatment group. The elements are either
matrices or vectors depending on whether cluster-size specific estimates were requested
(`type="cluster"`

) or not.

### See Also

`jointprobs`

for calculating the joint probability arrays

### Examples

```
data(dehp)
tau <- jointprobs(dehp, type="averaged")
uniprobs(tau)
#separately for each cluster size
tau2 <- jointprobs(dehp, type="cluster")
uniprobs(tau2)
```

[Package

*CorrBin*version 1.6.1 Index]