Description Usage Arguments Details Value References Examples

Confidence Intervals for Model Parameters

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`object` |
a fitted model object |

`parm` |
which parameters are to be given confidence intervals |

`level` |
the confidence level |

`...` |
further names arguments. Ignored. |

The `parm`

argument can be a numeric vector or a vector of names. If it is missing then it defaults to using all the parameters.

These are Wald-type confidence intervals based on the standard errors of the (transformed) parameters. Wald-type confidence intervals are known to be inaccurate for variance parameters, particularly when the variance is near zero (See references for issues with Wald-type confidence intervals).

A matrix with columns giving lower and upper confidence limits for each parameter. These will be labelled as (1-level)/2 and 1 - (1-level)/2 as a percentage (e.g. by default 2.5

Pritikin, J.N., Rappaport, L.M. & Neale, M.C. (In Press). Likelihood-Based Confidence Intervals for a Parameter With an Upper or Lower Bound. Structural Equation Modeling. DOI: 10.1080/10705511.2016.1275969

Neale, M. C. & Miller M. B. (1997). The use of likelihood based confidence intervals in genetic models. Behavior Genetics, 27(2), 113-120.

Pek, J. & Wu, H. (2015). Profile likelihood-based confidence intervals and regions for structural equation models. Psychometrica, 80(4), 1123-1145.

Wu, H. & Neale, M. C. (2012). Adjusted confidence intervals for a bounded parameter. Behavior genetics, 42(6), 886-898.

1 2 | ```
# Let cookedModel be the output from dynr.cook
#confint(cookedModel)
``` |

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