ShannonDistance: Inverse Jensen-Shannon Divergence
In cdbernard/particles: What the Package Does (One Line, Title Case)
View source: R/ShannonDistance.R
ShannonDistance R Documentation
Inverse Jensen-Shannon Divergence
Description
Jensen-Shannon Divergence (JSD) offers an unbiased, symmetric distance measure between two
statistical distribution. When distributions are identical JSD = 0. When distributions differ
JSD increases with no theoretical ceiling - similar to Shannon entropy.
Usage
ShannonDistance(x, y)
Arguments
x0
reference st/age distribution (i.e., true st/age distribution)
x1
observed st/age distribution
Value
Jensen Shannon Distance/goodness of fit measure
cdbernard/particles documentation built on Jan. 3, 2023, 9:39 a.m.
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View source: R/ShannonDistance.R
| ShannonDistance | R Documentation |
Inverse Jensen-Shannon Divergence
Description
Jensen-Shannon Divergence (JSD) offers an unbiased, symmetric distance measure between two statistical distribution. When distributions are identical JSD = 0. When distributions differ JSD increases with no theoretical ceiling - similar to Shannon entropy.
Usage
ShannonDistance(x, y)
Arguments
x0 |
reference st/age distribution (i.e., true st/age distribution) |
x1 |
observed st/age distribution |
Value
Jensen Shannon Distance/goodness of fit measure
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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