f_val: Regularized normal log-likelihood.
In dcgerard/succotashr: Surrogate and Confounder Correction Occuring Together with Adaptive Shrinkage
Description
Usage
Arguments
Value
Description
f_val will return the regularized normal log-likelihood
where thre is a low rank mean matrix and only a diagonal covariance
matrix along the columns.
Usage
1
f_val(Y, sig_diag, A, lambda = 0.01)
Arguments
Y
A matrix. This is the n by p data matrix.
sig_diag
A vector of length p. These are the
estimates of the variances of the columns of Y.
A
A matrix. This the the n by p low rank mean
matrix.
lambda
A numeric. The regularization parameter.
Value
llike A numeric. The regularized log-likelihood.
dcgerard/succotashr documentation built on May 15, 2019, 1:25 a.m.
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Description Usage Arguments Value
Description
f_val will return the regularized normal log-likelihood
where thre is a low rank mean matrix and only a diagonal covariance
matrix along the columns.
Usage
1 | f_val(Y, sig_diag, A, lambda = 0.01)
|
Arguments
Y |
A matrix. This is the |
sig_diag |
A vector of length |
A |
A matrix. This the the |
lambda |
A numeric. The regularization parameter. |
Value
llike A numeric. The regularized log-likelihood.
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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