abfT1.fn: Approximate Bayes' factors (ABFs) for one case-control study
In jennasimit/MTFMextra: Specific Analyses for MFM package
Description
Usage
Arguments
Value
Author(s)
Description
Approximate Bayes' factors (ABFs) for one case-control study
Usage
1
abfT1.fn(data1, mT1 = 3, msnps)
Arguments
data1
data.frame that has case-control status (1-0) in column 1 and remaining columns are the genotype scores (rows are individuals)
mT1
maximum number of causal variants
msnps
vector of SNPs to consider in models
Value
data.frame of model ABFs (each row is a model): column 1 has ABFs, remaining columns specify inclusion/excusion of SNPs in each model
Author(s)
Jenn Asimit
jennasimit/MTFMextra documentation built on May 22, 2019, 12:37 p.m.
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Description Usage Arguments Value Author(s)
Description
Approximate Bayes' factors (ABFs) for one case-control study
Usage
1 | abfT1.fn(data1, mT1 = 3, msnps)
|
Arguments
data1 |
data.frame that has case-control status (1-0) in column 1 and remaining columns are the genotype scores (rows are individuals) |
mT1 |
maximum number of causal variants |
msnps |
vector of SNPs to consider in models |
Value
data.frame of model ABFs (each row is a model): column 1 has ABFs, remaining columns specify inclusion/excusion of SNPs in each model
Author(s)
Jenn Asimit
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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