Gaussian_Wd: Gaussian_Wd
In LOMAR: Localization Microscopy Data Analysis
Gaussian_Wd R Documentation
Gaussian_Wd
Description
Compute 2-Wasserstein distance between two Gaussian distributions
Usage
Gaussian_Wd(m1, m2, S1, S2, S = NULL)
Arguments
m1
mean of first distribution
m2
mean of second distribution
S1
variance of first distribution
S2
variance of second distribution
S
(optional) matrix of pre-computed sqrtm(sqrtm(S1) %*% S2 %*% sqrtm(S1))
Value
distance value
LOMAR documentation built on March 18, 2022, 6:05 p.m.
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| Gaussian_Wd | R Documentation |
Gaussian_Wd
Description
Compute 2-Wasserstein distance between two Gaussian distributions
Usage
Gaussian_Wd(m1, m2, S1, S2, S = NULL)
Arguments
m1 |
mean of first distribution |
m2 |
mean of second distribution |
S1 |
variance of first distribution |
S2 |
variance of second distribution |
S |
(optional) matrix of pre-computed sqrtm(sqrtm(S1) %*% S2 %*% sqrtm(S1)) |
Value
distance value
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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