IBC: Information Based Criterion
In saeidamiri1/mlgwsa: Genome Wide-Association Study (mlgwsa)
Description
Usage
Arguments
Details
References
See Also
Description
Calculate the entropy of each variable of x
Usage
1
IBC(x)
Arguments
x
matrix including the SNP data
Details
The SNPs data is categorical, and the entropy can be appropriate to quantify the information in SNP's variable, entropy is a measure of the uncertainty associated with a random variable.
References
Amiri, S., Ivo, D. (2017). Information Theoretic Approach for Genome-Wide Association Study of Parkinson's Disease.
See Also
See HFB for the application.
saeidamiri1/mlgwsa documentation built on May 29, 2019, 9:10 a.m.
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Description Usage Arguments Details References See Also
Description
Calculate the entropy of each variable of x
Usage
1 | IBC(x)
|
Arguments
x |
matrix including the SNP data |
Details
The SNPs data is categorical, and the entropy can be appropriate to quantify the information in SNP's variable, entropy is a measure of the uncertainty associated with a random variable.
References
Amiri, S., Ivo, D. (2017). Information Theoretic Approach for Genome-Wide Association Study of Parkinson's Disease.
See Also
See HFB for the application.
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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