Description Usage Arguments Details Value See Also Examples

Calculates the confidence intervals for the residuals of the multilevel index at each level. These can then be visualised in a caterpillar plot.

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`object` |
an object of class |

`parm` |
NA |

`level` |
the confidence level required |

`...` |
other arguments |

`confint.index`

is a wrapper to `lme4::ranef(mlm, condVar = TRUE)`

and is used to calculate the confidence intervals for the locations and
regions at each of the higher levels of the model. In this way, places with
an usually high (or low) share of population group Y with respect to
population group X can be identified, net of the effects of other levels
of the model. The width of the confidence interval is adjusted for a test of
difference between two means (see Statistical Rules of Thumb by Gerald van
Belle, 2011, eq 2.18). A 95 per cent confidence interval, for example,
extends to 1.39 times the standard error around the mean and not 1.96.

an object of class `confint`

, a list of length equal to the
number of levels in the index where each part of the list is a data frame
giving the confidence interval for the location

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