run_emmix_kmeas: A wrapper to run EM analysis of \(ln\) Ks values with k-means
In shinyWGD: 'Shiny' Application for Whole Genome Duplication Analysis
run_emmix_kmeas R Documentation
A wrapper to run EM analysis of \(ln\) Ks values with k-means
Description
A wrapper to run EM analysis of \(ln\) Ks values with k-means
Usage
run_emmix_kmeas(v, k.centers = 2, k.nstart = 500)
Arguments
v
A list include a vector of Ks values namely ks_value,
and a bolean variable namely log
k.centers
Number of k-means centers, default 2.
k.nstart
Number of random start of k-means clustering, default 10.
For a formal analysis, it is recommended to use 500.
Value
A list, i.e., the original output of mclust::emV
shinyWGD documentation built on April 4, 2025, 2:28 a.m.
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| run_emmix_kmeas | R Documentation |
A wrapper to run EM analysis of \(ln\) Ks values with k-means
Description
A wrapper to run EM analysis of \(ln\) Ks values with k-means
Usage
run_emmix_kmeas(v, k.centers = 2, k.nstart = 500)
Arguments
v |
A list include a vector of Ks values namely |
k.centers |
Number of k-means centers, default 2. |
k.nstart |
Number of random start of k-means clustering, default 10. For a formal analysis, it is recommended to use 500. |
Value
A list, i.e., the original output of mclust::emV
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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