Description Objects from the Class Slots Methods Note Author(s) References See Also Examples

A set of estimates for the hiearchical covariance matricies, and means, calculated for a background population needed for the comparison of two items.

Objects can be created by calls of the form `new("compcovar", ...)`

. The function `two.level.components`

is recommended for the creation of these objects.

`v.within`

:estimate of the within item covariance matrix - object of class

`"matrix"`

.`v.between`

:estimate of the between item covariance matrix - object of class

`"matrix"`

`n.observations`

:count of the total number of observations in the sample from the background population - object of class

`"numeric"`

`n.items`

:count of the number of items in the sample from the background population of - object class

`"numeric"`

`item.n`

:an array of the number of replicated observations for each item in the sample - object of class

`"matrix"`

`item.means`

:an array of the means of the replicated observations for each item in the sample - object of class

`"matrix"`

`n.vars`

:count of the number of properties measured - object of class

`"numeric"`

~~`overall.means`

:means of all the properties measured for each item in the background population - object of class

`"numeric"`

`multivariate`

:flag indicating whether the observations are multivariate - object of class

`"logical"`

`balanced`

:flag indicating whether the observations are balanced - Object of class

`"logical"`

`s.within`

:sum of squared deviations for within all items - object of class

`"matrix"`

`s.between`

:sum of squared deviations between all items - object of class

`"matrix"`

`warn.type`

:whether any warnings were issued

`"character"`

- two.level.density.LR
`signature(control = "compitem", recovered = "compitem", background = "compcovar")`

ML estimates for variance components - need something a bit more robust

David Lucy [email protected] - http://www.maths.lancs.ac.uk/~lucy

Aitken, C.G.G. & Lucy, D. (2004) Evaluation of trace evidence in the form of multivariate data. *Applied Statistics*: **53**(1); 109-122.

`compcovar`

`compitem`

`two.level.comparison.items`

`two.level.components`

`two.level.density.LR`

1 | ```
showClass("compcovar")
``` |

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