confint.addreg {addreg} | R Documentation |

## Confidence Intervals for addreg Model Parameters

### Description

Computes confidence intervals for one or more parameters in
a fitted `addreg`

model.

### Usage

```
## S3 method for class 'addreg'
confint(object, parm, level = 0.95, ...)
```

### Arguments

`object` |
a fitted model object, resulting from a
call to |

`parm` |
a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered. |

`level` |
the confidence level required. |

`...` |
additional argument(s) passed to |

### Details

Calculates confidence intervals for model parameters assuming asymptotic normality, using `vcov.addreg(object)`

. As
such, if the MLE is on the boundary of the parameter space,
(i.e. `object$boundary == TRUE`

) the normality assumption
is invalid and `NA`

is returned.

### Value

A matrix (or vector) with columns giving lower and upper confidence limits for each parameter. These will be labelled as (1-level)/2 and 1-(1-level)/2 in % (by default 2.5% and 97.5%).

### Author(s)

Mark W. Donoghoe markdonoghoe@gmail.com

### See Also

### Examples

```
## For an example, see example(addreg)
```

*addreg*version 3.0 Index]