mix_logNormal_Ks: Log-Normal mixturing analyses of a Ks distributions for the...
In shinyWGD: 'Shiny' Application for Whole Genome Duplication Analysis
mix_logNormal_Ks R Documentation
Log-Normal mixturing analyses of a Ks distributions for the whole paranome
Description
Log-Normal mixturing analyses of a Ks distributions for the whole paranome
Usage
mix_logNormal_Ks(ksv, G = 1:5, k.nstart = 500, maxK = 5)
Arguments
ksv
A ksv object.
G
An integer vector specifying the range of the mixtured components.
A BIC is calculated for each component. The default is G=1:5.
For a formal analysis, it is recommended to use 1:10.
k.nstart
How many random sets should be chosen in the k-means
clustering.
For a formal analysis, it is recommended to use 500.
maxK
Maximum Ks values used in the mixture modeling analysis.
Value
A data frame with seven variables.
shinyWGD documentation built on April 4, 2025, 2:28 a.m.
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| mix_logNormal_Ks | R Documentation |
Log-Normal mixturing analyses of a Ks distributions for the whole paranome
Description
Log-Normal mixturing analyses of a Ks distributions for the whole paranome
Usage
mix_logNormal_Ks(ksv, G = 1:5, k.nstart = 500, maxK = 5)
Arguments
ksv |
A |
G |
An integer vector specifying the range of the mixtured components. A BIC is calculated for each component. The default is G=1:5. For a formal analysis, it is recommended to use 1:10. |
k.nstart |
How many random sets should be chosen in the k-means clustering. For a formal analysis, it is recommended to use 500. |
maxK |
Maximum Ks values used in the mixture modeling analysis. |
Value
A data frame with seven variables.
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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