mod_fa: Moderated factor analysis. Optimize over loadings, factors,...
In dcgerard/succotashr: Surrogate and Confounder Correction Occuring Together with Adaptive Shrinkage
Description
Moderated factor analysis. Optimize over loadings, factors, and
hyperparameters of variances.
Usage
1
Arguments
Y
A matrix of numerics. n by p.
k
A positive integer. The rank of the mean.
tol
A positive numeric. The stopping criterion.
itermax
A positive integer. The maximum number of iterations
to run through in the optimization.
dcgerard/succotashr documentation built on May 15, 2019, 1:25 a.m.
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Description
Moderated factor analysis. Optimize over loadings, factors, and hyperparameters of variances.
Usage
1 |
Arguments
Y |
A matrix of numerics. n by p. |
k |
A positive integer. The rank of the mean. |
tol |
A positive numeric. The stopping criterion. |
itermax |
A positive integer. The maximum number of iterations to run through in the optimization. |
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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