count_contingency_tables_log: Natural logarithm of the number of contingency tables
In clustAnalytics: Cluster Evaluation on Graphs
View source: R/corrected_mutual_information.R
count_contingency_tables_log R Documentation
Natural logarithm of the number of contingency tables
Description
Given a contingency table, returns the natural logarithm of the number of
contingency tables that share the same column and row sums. This implementation
combines a Markov Chain Monte Carlo approximation with an analytical formula.
The input can be either M a contingency table, or two vectors of labels c1 and c2
(in this case, we are counting contingency tables with the same column an row sums as
the one produced by c1 and c2)
Usage
count_contingency_tables_log(c1, c2, M = NULL, monte_carlo_only = FALSE)
Arguments
c1, c2
membership vectors
M
contingency table
monte_carlo_only
Uses only the Monte Carlo approximation
clustAnalytics documentation built on May 29, 2024, 12:18 p.m.
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View source: R/corrected_mutual_information.R
| count_contingency_tables_log | R Documentation |
Natural logarithm of the number of contingency tables
Description
Given a contingency table, returns the natural logarithm of the number of contingency tables that share the same column and row sums. This implementation combines a Markov Chain Monte Carlo approximation with an analytical formula. The input can be either M a contingency table, or two vectors of labels c1 and c2 (in this case, we are counting contingency tables with the same column an row sums as the one produced by c1 and c2)
Usage
count_contingency_tables_log(c1, c2, M = NULL, monte_carlo_only = FALSE)
Arguments
c1, c2 |
membership vectors |
M |
contingency table |
monte_carlo_only |
Uses only the Monte Carlo approximation |
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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