compcovar-class: Class of object 'compcovar'

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

Description

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

Objects from the Class

Objects can be created by calls of the form new("compcovar", ...). The function two.level.components is recommended for the creation of these objects.

Slots

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"

Methods

two.level.density.LR

signature(control = "compitem", recovered = "compitem", background = "compcovar")

Note

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

Author(s)

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

References

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

See Also

compcovar
compitem
two.level.comparison.items
two.level.components
two.level.density.LR

Examples

1
showClass("compcovar")

comparison documentation built on May 29, 2017, 9:08 a.m.