walk_step: Performs a step of the Markov Chain Monte Carlo method
In clustAnalytics: Cluster Evaluation on Graphs
walk_step R Documentation
Performs a step of the Markov Chain Monte Carlo method
Description
Modifies the matrix while keeping the column and row sums constant, as well as
leaving the positions strictly preceding (k,l) in lexicographical order invariant.
Usage
walk_step(M, k, l)
Arguments
M
matrix
k, l
Coordinates of the first element that is not invariant
Value
boolean indicating whether the step left the matrix invariant
clustAnalytics documentation built on May 29, 2024, 12:18 p.m.
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| walk_step | R Documentation |
Performs a step of the Markov Chain Monte Carlo method
Description
Modifies the matrix while keeping the column and row sums constant, as well as leaving the positions strictly preceding (k,l) in lexicographical order invariant.
Usage
walk_step(M, k, l)
Arguments
M |
matrix |
k, l |
Coordinates of the first element that is not invariant |
Value
boolean indicating whether the step left the matrix invariant
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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