logistic_to_linear: estimate_betas
In theboocock/coco: Correlation-based conditional analysis
Description
Usage
Arguments
Details
Author(s)
Description
Stepwise conditional wrapper
Usage
1
logistic_to_linear(b, se, phi, ref_af, mu)
Arguments
data_set
data.frame. Contains the relevant
ld_noise
citation. Pirinen, Matti, Peter Donnelly, and Chris CA Spencer. "Efficient computation with a linear mixed model on large-scale data sets
with applications to genetic studies." The Annals of Applied Statistics 7.1.
Details
Generate conditional signals from a conditional dataset.
Author(s)
James Boocock and Eli Stahl
theboocock/coco documentation built on May 31, 2019, 9:10 a.m.
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Description Usage Arguments Details Author(s)
Description
Stepwise conditional wrapper
Usage
1 | logistic_to_linear(b, se, phi, ref_af, mu)
|
Arguments
data_set |
data.frame. Contains the relevant |
ld_noise |
citation. Pirinen, Matti, Peter Donnelly, and Chris CA Spencer. "Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies." The Annals of Applied Statistics 7.1. |
Details
Generate conditional signals from a conditional dataset.
Author(s)
James Boocock and Eli Stahl
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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