convert_b_hat: Convert little b hat matrix (dimension (ad) by 1) to big B...
In fboehm/gemma: GEMMA algorithm for estimating variance components in multivariate linear mixed effects models
Description
Convert little b hat matrix (dimension (ad) by 1) to big B hat matrix (dimension a by d), where a is the number of allelotypes at each locus (8 in case of DO) and d is number of traits
Usage
1
convert_b_hat(b_hat, n_traits = 2)
Arguments
b_hat
ad by 1 matrix of stacked allelotype effect sizes
n_traits
number of traits examined simultaneously. Default value is 2
fboehm/gemma documentation built on May 20, 2019, 3:31 p.m.
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Description
Convert little b hat matrix (dimension (ad) by 1) to big B hat matrix (dimension a by d), where a is the number of allelotypes at each locus (8 in case of DO) and d is number of traits
Usage
1 | convert_b_hat(b_hat, n_traits = 2)
|
Arguments
b_hat |
ad by 1 matrix of stacked allelotype effect sizes |
n_traits |
number of traits examined simultaneously. Default value is 2 |
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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