Description Usage Arguments Details Value Author(s) References See Also
Predicts values for scattered missing elements according to the matrix-variate normal distribution. Internal use.
1 | ACE(x, sig, delt, sigi, delti, M, thr = 1e-04, maxit = 1000)
|
x |
Data matrix with scattered missing values. Missing values should be denoted with "NA". |
sig |
Row covariance matrix. |
delt |
Column covariance matrix. |
sigi |
Row precision matrix. |
delti |
Column precision matrix. |
M |
Mean matrix. |
thr |
Convergence threshold. |
maxit |
Maximum number of iterations. |
For internal use.
x |
Matrix of predicted values. |
iter |
Number of iterations until convergence. |
Genevera I. Allen
G. I. Allen and R. Tibshirani, "Transposable regularized covariance models with an application to missing data imputation", Annals of Applied Statistics, 4:2, 764-790, 2010.
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