Riemann_dist_samples: Calculate distances between a matrix of positive-definite...
In kimberlyroche/ROL: What the package does (short line)
Description
Usage
Arguments
Details
Value
Description
Calculate distances between a matrix of positive-definite covariance matrices concatenated
horizontally
Usage
1
Riemann_dist_samples(samples, n_hosts, n_samples_per)
Arguments
samples
posterior samples matrix, arranged by host and concatenated across columns
n_hosts
number of hosts
n_samples_per
number of samples per host
Details
Dimensions of the samples matrix are D rows x DN columns where D = no. of features
and N = no. of samples
Value
distance
kimberlyroche/ROL documentation built on Dec. 10, 2020, 2:18 a.m.
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Description Usage Arguments Details Value
Description
Calculate distances between a matrix of positive-definite covariance matrices concatenated horizontally
Usage
1 | Riemann_dist_samples(samples, n_hosts, n_samples_per)
|
Arguments
samples |
posterior samples matrix, arranged by host and concatenated across columns |
n_hosts |
number of hosts |
n_samples_per |
number of samples per host |
Details
Dimensions of the samples matrix are D rows x DN columns where D = no. of features and N = no. of samples
Value
distance
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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