propensity: propensity scores
In EpiSlim/epiGWAS: Robust Methods for Epistasis Detection
Description
Usage
Format
Examples
Description
To obtain the scores for the samples in genotypes,
we first remove all SNPs in the genomic interval
[18038910, 18288361] to alleviate linkage disequilibrium around the
target SNP rs2535708 (position 18184169). Afterwards, we apply
fast_HMM followed by cond_prob.
The results are stored in propensity.
Usage
1
Format
a numeric vector
Examples
1
EpiSlim/epiGWAS documentation built on Nov. 19, 2019, 7:15 p.m.
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Description Usage Format Examples
Description
To obtain the scores for the samples in genotypes,
we first remove all SNPs in the genomic interval
[18038910, 18288361] to alleviate linkage disequilibrium around the
target SNP rs2535708 (position 18184169). Afterwards, we apply
fast_HMM followed by cond_prob.
The results are stored in propensity.
Usage
1 |
Format
a numeric vector
Examples
1 |
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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