distance: Codebook Dissimliarities
In pdc: Permutation Distribution Clustering
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Functions to calculate distances/dissimilarities between codebooks.
Usage
1
2
3
hellingerDistance(x,y)
squaredHellingerDistance(x,y)
symmetricAlphaDivergence(x,y)
Arguments
x
a codebook
y
a codebook
Details
Note: The symmetric alpha-divergence is proportional to the Squared Hellinger distance, and is the default divergence between codebooks.
Value
Returns a numeric dissimilarity between two codebooks.
Author(s)
Andreas Brandmaier brandmaier@mpib-berlin.mpg.de
See Also
Examples
1
2
3
pdc documentation built on May 2, 2019, 9 a.m.
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.
Description Usage Arguments Details Value Author(s) See Also Examples
Description
Functions to calculate distances/dissimilarities between codebooks.
Usage
1 2 3 | hellingerDistance(x,y)
squaredHellingerDistance(x,y)
symmetricAlphaDivergence(x,y)
|
Arguments
x |
a codebook |
y |
a codebook |
Details
Note: The symmetric alpha-divergence is proportional to the Squared Hellinger distance, and is the default divergence between codebooks.
Value
Returns a numeric dissimilarity between two codebooks.
Author(s)
Andreas Brandmaier brandmaier@mpib-berlin.mpg.de
See Also
Examples
1 2 3 |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.