msvd


  The input matrix, rows are observations, columns are variables



  A function object to specify the preferred SVD solver, default is <code>svd</code>.


svd.sol


    An internal function called by <code><a rd-options="" href="/link/mbpca?package=mogsa&version=1.6.4" data-mini-rdoc="mogsa::mbpca">mbpca</a></code>. It returns the result comparable 
    with nipalsSoftK, but way faster since it uses the SVD algorithm. No sparse opertors
    in this function.


This package provide a method for doing gene set analysis
based on multiple omics data.

Chen Meng

mogsa

Multiple omics data integrative clustering and gene set analysis

msvd function

The input matrix, rows are observations, columns are variables

A function object to specify the preferred SVD solver, default is <code>svd</code>.

An internal function called by <code><a href="mbpca" rd-options="">mbpca</a></code>. It returns the result comparable 
    with nipalsSoftK, but way faster since it uses the SVD algorithm. No sparse opertors
    in this function.

SVD based algorithm to calculate block Score and global scores for <code><a href="mbpca" rd-options="">mbpca</a></code>.


    SVD based algorithm to calculate block Score and global scores for <code><a rd-options="" href="/link/mbpca?package=mogsa&version=1.6.4" data-mini-rdoc="mogsa::mbpca">mbpca</a></code>.


msvd: SVD based algorithm to calculate block Score and global scores for `mbpca`.

Description

Usage

Arguments

Value

See Also