groupSparseEigen: Group-wise sparse spectral decomposition of a matrix
In oliviermfmartin/HelpingHand: A helping hand

Description Usage Arguments Details Value See Also

Computes group-wise sparse eigenvalues and eigenvectors of a matrix.

groupSparseEigen(
  x,
  groups,
  y = NULL,
  lambda = NULL,
  kernel = "linear",
  bandwidth = NULL,
  trace = FALSE
)

`x`	numeric matrix; data with variables as columns and samples as rows.
`groups`	boolean matrix; affiliation matrix. Does the variable in row i pertain to the group in column j?
`y`	numeric matrix; confounder matrix with rows as samples and columns as confounding factors.
`lambda`	the tuning parameter, non-negative.
`kernel`	the kernel to use: "linear", "gaussian".
`bandwidth`	bandwidth h for Gaussian kernel. Optional.
`trace`	logical; should progress be printed?

For each group defined in the groups parameter, variables not pertaining to the group see their covariance set to zero. Eigendecomposition is then performed on that matrix.

A list containing the sparse eigenvector and eigenvalues.

eigen

oliviermfmartin/HelpingHand documentation built on Oct. 10, 2020, 5:59 a.m.