complement_spca: Select the k first components and their complement as initial...
In Rmomal/nestor: Network inference from Species counTs with missing actORs
Description
Usage
Arguments
Value
Examples
Description
This function aims at efficiently exploring the space of likely cliques when only one missing actor is estimated.
It focuses and the first two principal component axes found, and their complements.
Usage
1
complement_spca(M, k)
Arguments
M
Gaussian proxy for the original dataset. Possibly obtained using PLNmodels.
k
Number of principal components of sparse PCA to keep.
Value
A list of 2 x k cliques.
Examples
1
2
3
4
data=generate_missing_data(n=100,p=10,r=1,type="scale-free", plot=TRUE)
PLNfit=norm_PLN(data$Y)
data$TC
complement_spca(PLNfit$MO,k=2)
Rmomal/nestor documentation built on Dec. 16, 2020, 7:54 p.m.
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Description Usage Arguments Value Examples
Description
This function aims at efficiently exploring the space of likely cliques when only one missing actor is estimated. It focuses and the first two principal component axes found, and their complements.
Usage
1 | complement_spca(M, k)
|
Arguments
M |
Gaussian proxy for the original dataset. Possibly obtained using PLNmodels. |
k |
Number of principal components of sparse PCA to keep. |
Value
A list of 2 x k cliques.
Examples
1 2 3 4 | data=generate_missing_data(n=100,p=10,r=1,type="scale-free", plot=TRUE)
PLNfit=norm_PLN(data$Y)
data$TC
complement_spca(PLNfit$MO,k=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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