Description Usage Arguments Details Value Author(s) See Also Examples

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

model.

1 2 |

`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 |

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.

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%).

Mark W. Donoghoe markdonoghoe@gmail.com

1 | ```
## For an example, see example(addreg)
``` |

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