Man pages for softImpute
Matrix Completion via Iterative Soft-Thresholded SVD
| biScale | Standardize a matrix to have optionally row means zero and... |
| clean.warm.start | rdname softImpute-internal |
| deBias | Recompute the '$d' component of a '"softImpute"' object... |
| impute | make predictions from an svd object |
| Incomplete | create a matrix of class 'Incomplete' |
| Incomplete-class | Class '"Incomplete"' |
| lambda0 | compute the smallest value for 'lambda' such that... |
| simpute.als | rdname softImpute-internal |
| simpute.svd | rdname softImpute-internal |
| softImpute | impute missing values for a matrix via nuclear-norm... |
| softImpute-package | Softimpute for matrix completion |
| softImpute.x.Incomplete | rdname softImpute-internal |
| softImpute.x.matrix | Internal softImpute functions |
| SparseplusLowRank-class | Class '"SparseplusLowRank"' |
| splr | create a 'SparseplusLowRank' object |
| Ssimpute.als | rdname softImpute-internal |
| Ssimpute.svd | rdname softImpute-internal |
| Ssvd.als | rdname softImpute-internal |
| svd.als | compute a low rank soft-thresholded svd by alternating... |
