pcaruv2_fix: Fix point for mle in pca_ruv2.
In dcgerard/vicar: Various Ideas for Confounder Adjustment in Regression
Description
Usage
Arguments
Author(s)
See Also
Description
This is mostly for use in SQUAREM.
Usage
1
pcaruv2_fix(sig_lambda, r1, r2, n, vr)
Arguments
sig_lambda
A vector. All but the first elements are the
current values of Sigma. The last element is the current value
of lambda.
r1
The sum of squares of the first vr columns of the
residuals.
r2
The sum of squares of the last n - vr columns of the
residuals.
n
The number of samples.
vr
The number of columns where variance inflation is in
effect.
Author(s)
David Gerard
See Also
pca_ruv2, pcaruv2_obj for the
objective function that this maximizes.
dcgerard/vicar documentation built on July 7, 2021, 1:08 p.m.
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Description Usage Arguments Author(s) See Also
Description
This is mostly for use in SQUAREM.
Usage
1 | pcaruv2_fix(sig_lambda, r1, r2, n, vr)
|
Arguments
sig_lambda |
A vector. All but the first elements are the current values of Sigma. The last element is the current value of lambda. |
r1 |
The sum of squares of the first vr columns of the residuals. |
r2 |
The sum of squares of the last n - vr columns of the residuals. |
n |
The number of samples. |
vr |
The number of columns where variance inflation is in effect. |
Author(s)
David Gerard
See Also
pca_ruv2, pcaruv2_obj for the
objective function that this maximizes.
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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