TwoLevelLR_Background: Compute background parameters for the two level likelihood...
In ForensicDocument: Quantification and evaluation tools for forensic document examiners
Description
Usage
Arguments
Value
Author(s)
References
See Also
View source: R/TwoLevelLR_Background.R
Description
Compute background parameters (overall and group means, within- and between group variances and covariances matrices) for the two level likelihood ratio.
Usage
1
TwoLevelLR_Background(data, fac)
Arguments
data
a n x p numeric matrix, with p ≥q 2. The background data containing n measurements on p variables.
fac
a factor of length p, indicating the 'population' of each measurement.
Value
A list containing the overall and group means (all.means and group.means), within- and between group variances and covariances matrices (W and B).
Author(s)
Silvia Bozza
Alexandre Thiery
References
Bozza S, Taroni F, Marquis R and Schmittbuhl M (2008). "Probabilistic evaluation of handwriting evidence: likelihood ratio for authorship." Journal of the Royal Statistical Society: Series C (Applied Statistics), 57 (3), pp. 329-341.
See Also
ForensicDocument documentation built on May 2, 2019, 5 p.m.
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Description Usage Arguments Value Author(s) References See Also
View source: R/TwoLevelLR_Background.R
Description
Compute background parameters (overall and group means, within- and between group variances and covariances matrices) for the two level likelihood ratio.
Usage
1 | TwoLevelLR_Background(data, fac)
|
Arguments
data |
a n x p numeric matrix, with p ≥q 2. The background data containing n measurements on p variables. |
fac |
a factor of length p, indicating the 'population' of each measurement. |
Value
A list containing the overall and group means (all.means and group.means), within- and between group variances and covariances matrices (W and B).
Author(s)
Silvia Bozza
Alexandre Thiery
References
Bozza S, Taroni F, Marquis R and Schmittbuhl M (2008). "Probabilistic evaluation of handwriting evidence: likelihood ratio for authorship." Journal of the Royal Statistical Society: Series C (Applied Statistics), 57 (3), pp. 329-341.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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