Wrapper for FastICA methods for Independent Component Analysis from fICA package

adapt_fast_ICA() and fast_ICA2() are wrappers for fICA::adapt_fICA and fICA::fICA that only run in C, and return a transposed version of the original estimated unmixing matrix in W, and the mixing matrix A, consistent with the formulation X= S %*% A, where X is the matrix of data with N_samples by N_channels, and S is a matrix of sources with N_samples by N_sources. They are meant to be used with eeg_ica(). In order to save memory, these wrappers do not return the estimated source components.

adapt_fast_ICA(
  X,
  gs = fICA::gf,
  dgs = fICA::dgf,
  kj = 0,
  eps = 1e-06,
  maxiter = 1000
)

fast_ICA2(
  X,
  g = "tanh",
  dg = NULL,
  G = NULL,
  init = NULL,
  n.init = 1,
  method = "def",
  eps = 1e-06,
  maxiter = 1000
)

Arguments

X

A matrix of data frame.

gs

a list of functions containing the nonlinearities.

dgs

a list of functions containing the first derivatives of the nonlinearities.

kj

defines the initial estimate of the unmixing matrix, see details.

eps

convergence tolerance.

maxiter

maximum number of iterations.

g

the nonlinearity, tanh by default, see details.

dg

the first derivative of the nonlinearity, see details.

G

the integral function of the nonlinearity, see details.

init

a numeric matrix for the initial value of the algorithm

n.init

a positive integer for the number of initial values in symmetric algorithms, see details.

method

squared symmetric ("sym2"), symmetric ("sym") or deflation-based ("def")

Value

A list with the unmixing matrix W and the mixing matrix A.

See also

Other ica methods: fast_ICA(), ica_matrix_lst()