simsv: Randomly Generate Positive Singular Values
In lsbclust: Least-Squares Bilinear Clustering for Three-Way Data
Description
Generate random singular values for a specified number of clusters
for use in simulations. A mixture distribution is used with truncation to ensure that the
singular values differ between clusters, are ordered, and are nonnegative.
Usage
1
Arguments
nclust
Integer giving the number of clusters for which to sample singular values.
ndim
Integer; the number of singular values required.
mins
Numeric vector of length ndim giving the minimum values for the
respective singular values.
max
Numeric value giving the maximum possible value for the mean of the cluster-
specific singular value distribution, relative to the mins
lsbclust documentation built on May 1, 2019, 10:27 p.m.
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Description
Generate random singular values for a specified number of clusters for use in simulations. A mixture distribution is used with truncation to ensure that the singular values differ between clusters, are ordered, and are nonnegative.
Usage
1 |
Arguments
nclust |
Integer giving the number of clusters for which to sample singular values. |
ndim |
Integer; the number of singular values required. |
mins |
Numeric vector of length |
max |
Numeric value giving the maximum possible value for the mean of the cluster-
specific singular value distribution, relative to the |
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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