parafac4microbiome (version 1.3.2)

parafac: Parallel Factor Analysis

Description

Parallel Factor Analysis

Usage

parafac(
  Tensor,
  nfac,
  nstart = 1,
  maxit = 500,
  ctol = 1e-04,
  initialization = "random",
  output = "best",
  sortComponents = FALSE
)

Value

List object of the PARAFAC model or models.

Arguments

Tensor

3-way matrix of numeric data

nfac

Number of factors (components) to fit.

nstart

Number of models to randomly initialize (default 1).

maxit

Maximum number of iterations allowed without convergence (default 500).

ctol

Relative change in loss tolerated to call the algorithm converged in the ALS case (default 1e-4).

initialization

"Random" for randomly initialized input vectors or "nvec" for svd-based best guess.

output

String ("best"/"all") Return only the best model of the nstart models ("best") or return all of them in a list object ("all").

sortComponents

Boolean to sort the components based on their variance explained (default FALSE)

Examples

X = array(rnorm(108*100*10), c(108,100,10))
model = parafac(X, 2)