tfceFn: Low-level TFCE function which calls C++ code

In tdeenes/eegR: Analyze EEG Signals

Description

tfceFn performs TFCE correction. This function is not intended for direct use.

Usage

tfceFn(
  x,
  chn,
  eh,
  nr_steps = 50L,
  channel_dim = 1L,
  has_neg = TRUE,
  has_pos = TRUE
)

Arguments

x	numeric matrix or array
chn	channel neighbourhood matrix
eh	numeric vector of E and H parameters
nr_steps	number of threshold steps (default: 50L)
channel_dim	the dimension of x which represents channels (default: 1L)
has_neg	logical value if there are (or can be) negative values in x (default: TRUE)
has_pos	logical value if there are (or can be) positive values in x (default: TRUE)

Value

numeric matrix or array of the same dimensions as x

Author(s)

The original C code was written by Christian Gaser, further modified by Pau Coma and adopted to EEG analysis by Armand Mensen. Denes Toth ported the C code to C++ (Rcpp) with minor improvements and added the R wrapper.

tdeenes/eegR documentation built on April 19, 2021, 4:17 p.m.