PosPro: Posterior Probability
In SEA: Segregation Analysis
PosPro R Documentation
Posterior Probability
Description
calculate posterior probability of the optimal model
Usage
PosPro(Population,result,data)
Arguments
Population
which Population to analysis.
result
result of calculation used corresponding population function.
data
phenotype matrix.
Author(s)
Wang Jing-Tian, Zhang Ya-Wen, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>
Examples
F23=data(F23exdata)
result<-F23Fun(F23exdata,"1MG-AD",1)
PosPro("F2:3",result,F23exdata)
SEA documentation built on March 30, 2022, 9:06 a.m.
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| PosPro | R Documentation |
Posterior Probability
Description
calculate posterior probability of the optimal model
Usage
PosPro(Population,result,data)
Arguments
Population |
which Population to analysis. |
result |
result of calculation used corresponding population function. |
data |
phenotype matrix. |
Author(s)
Wang Jing-Tian, Zhang Ya-Wen, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>
Examples
F23=data(F23exdata)
result<-F23Fun(F23exdata,"1MG-AD",1)
PosPro("F2:3",result,F23exdata)
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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