calc_gl_hat: Calculate gl_hat in EM for multivariate LMM
In fboehm/gemma: GEMMA algorithm for estimating variance components in multivariate linear mixed effects models
Description
Calculate gl_hat in EM for multivariate LMM
Usage
1
calc_gl_hat(yl, B_hat, Vg, Ve, xl, deltal)
Arguments
yl
a column, ie, the lth, from the y matrix
B_hat
a matrix of coefficient estimates
Vg
current value of genetic covariance matrix, with dimension d by d
Ve
current value of error covariance matrix, with dimension d by d
xl
a column from the x matrix
deltal
lth eigenvalue of K matrix
fboehm/gemma documentation built on May 20, 2019, 3:31 p.m.
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Description
Calculate gl_hat in EM for multivariate LMM
Usage
1 | calc_gl_hat(yl, B_hat, Vg, Ve, xl, deltal)
|
Arguments
yl |
a column, ie, the lth, from the y matrix |
B_hat |
a matrix of coefficient estimates |
Vg |
current value of genetic covariance matrix, with dimension d by d |
Ve |
current value of error covariance matrix, with dimension d by d |
xl |
a column from the x matrix |
deltal |
lth eigenvalue of K matrix |
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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