divergence_sq: Divergence squared distance (lowlevel function)
In philentropy: Similarity and Distance Quantification Between Probability Functions
divergence_sq R Documentation
Divergence squared distance (lowlevel function)
Description
The lowlevel function for computing the divergence_sq distance.
Usage
divergence_sq(P, Q, testNA)
Arguments
P
a numeric vector storing the first distribution.
Q
a numeric vector storing the second distribution.
testNA
a logical value indicating whether or not distributions shall be checked for NA values.
Author(s)
Hajk-Georg Drost
Examples
divergence_sq(P = 1:10/sum(1:10), Q = 20:29/sum(20:29), testNA = FALSE)
philentropy documentation built on May 29, 2024, 1:11 a.m.
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| divergence_sq | R Documentation |
Divergence squared distance (lowlevel function)
Description
The lowlevel function for computing the divergence_sq distance.
Usage
divergence_sq(P, Q, testNA)
Arguments
P |
a numeric vector storing the first distribution. |
Q |
a numeric vector storing the second distribution. |
testNA |
a logical value indicating whether or not distributions shall be checked for |
Author(s)
Hajk-Georg Drost
Examples
divergence_sq(P = 1:10/sum(1:10), Q = 20:29/sum(20:29), testNA = FALSE)
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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