pca_naive: Basic PCA.
In dcgerard/succotashr: Surrogate and Confounder Correction Occuring Together with Adaptive Shrinkage
Description
Usage
Arguments
Author(s)
Description
Most of this code is from the package cate. I corrected some
problems. Specifically, I allow r = 0 and I included a few
needed drop = FALSE terms. I also divide by nrow(Y) -
r rather than by nrow(Y).
Usage
1
pca_naive(Y, r)
Arguments
Y
A matrix of numerics. The data.
r
the rank.
Author(s)
David Gerard
dcgerard/succotashr documentation built on May 15, 2019, 1:25 a.m.
R Package Documentation
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Description Usage Arguments Author(s)
Description
Most of this code is from the package cate. I corrected some
problems. Specifically, I allow r = 0 and I included a few
needed drop = FALSE terms. I also divide by nrow(Y) -
r rather than by nrow(Y).
Usage
1 | pca_naive(Y, r)
|
Arguments
Y |
A matrix of numerics. The data. |
r |
the rank. |
Author(s)
David Gerard
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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