Parallel Low-Rank Approximation with Nonnegativity Constraints


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Documentation for package ‘RcppPlanc’ version 2.0.7

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as.H5Mat Argument list object for using a dense matrix stored in HDF5 file
as.H5Mat.default Argument list object for using a dense matrix stored in HDF5 file
as.H5Mat.dgCMatrix Argument list object for using a dense matrix stored in HDF5 file
as.H5Mat.matrix Argument list object for using a dense matrix stored in HDF5 file
as.H5SpMat Argument list object for using a sparse matrix stored in HDF5 file
as.H5SpMat.default Argument list object for using a sparse matrix stored in HDF5 file
as.H5SpMat.dgCMatrix Argument list object for using a sparse matrix stored in HDF5 file
as.H5SpMat.matrix Argument list object for using a sparse matrix stored in HDF5 file
bppnnls Block Principal Pivoted Non-Negative Least Squares
bppnnls_prod Block Principal Pivoted Non-Negative Least Squares
ctrl.sparse Example single-cell transcriptomic data in sparse form
dim.H5SpMat Retrieve the dimension of H5SpMat argument list
dim<-.H5SpMat Retrieve the dimension of H5SpMat argument list
format.H5Mat Prepare character information of a H5Mat object
format.H5SpMat prepare character information of a H5SpMat object
H5Mat Argument list object for using a dense matrix stored in HDF5 file
H5SpMat Argument list object for using a sparse matrix stored in HDF5 file
inmf Perform Integrative Non-negative Matrix Factorization
nmf Perform Non-negative Matrix Factorization
onlineINMF Perform Integrative Non-negative Matrix Factorization Using Online Learning
print.H5Mat Show information of a H5Mat object
print.H5SpMat Show information of a H5SpMat object
stim.sparse Example single-cell transcriptomic data in sparse form
symNMF Perform Symmetric Non-negative Matrix Factorization
uinmf Perform Mosaic Integrative Non-negative Matrix Factorization with Unshared Features