Groupinfo: Group the models according to their Hamming distance and...
In VDSM: Visualization of Distribution of Selected Model
Description
Usage
Arguments
Value
Description
Group the given models
Usage
1
Arguments
X
A m*p matrix which contains m different p-dimensional models. All the elements are either 0 or 1.
f
A vector with m elements which represent each model's frequency in X.
p
The number of variate in the model
Anchor.model
A vector containing p elements with either 1 or 0 value and must be found in X. Default is the model with the highest frequency.
Value
A summarized information of the grouped models.
VDSM documentation built on April 16, 2021, 9:07 a.m.
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Description Usage Arguments Value
Description
Group the given models
Usage
1 |
Arguments
X |
A m*p matrix which contains m different p-dimensional models. All the elements are either 0 or 1. |
f |
A vector with m elements which represent each model's frequency in X. |
p |
The number of variate in the model |
Anchor.model |
A vector containing p elements with either 1 or 0 value and must be found in X. Default is the model with the highest frequency. |
Value
A summarized information of the grouped models.
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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