gsm: Esimate genetic variance-covariances and calculate...
In GSMX: Multivariate Genomic Selection
Description
Usage
Arguments
Value
Examples
Description
The function estimate genetic variance-covariances and calculate heritability and predictability for multivariate genetic selection using cross validation
Usage
1
gsm(mydata, mykin, nfold)
Arguments
mydata
dataset with two traits
mykin
kinship matrix
nfold
number of folds for cross validation
Value
res
Results
Examples
1
2
3
4
library(GSMX)
data(pseudo.kin)
data(pseudo.data)
myfit=gsm(pseudo.data, pseudo.kin, nfold=5)
Example output
[1] 1
[1] 2
[1] 3
[1] 4
[1] 5
GSMX documentation built on May 2, 2019, 10:27 a.m.
R Package Documentation
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Description Usage Arguments Value Examples
Description
The function estimate genetic variance-covariances and calculate heritability and predictability for multivariate genetic selection using cross validation
Usage
1 | gsm(mydata, mykin, nfold)
|
Arguments
mydata |
dataset with two traits |
mykin |
kinship matrix |
nfold |
number of folds for cross validation |
Value
res |
Results |
Examples
1 2 3 4 | library(GSMX)
data(pseudo.kin)
data(pseudo.data)
myfit=gsm(pseudo.data, pseudo.kin, nfold=5)
|
Example output
[1] 1
[1] 2
[1] 3
[1] 4
[1] 5
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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