RG_distr: Riemann-Gauss density function

In LauraMasiero/RiemannR: RiemannR - EEG-based BCI analysis with Riemannian geometry

Description

This function computes the Riemann-Gauss density on a given value.

Usage

RG_distr(mu,sigma, p, scm_matrix)

Arguments

mu	a numeric matrix indicating the distribution's mean.
sigma	a numeric value indicating the dispersion of the distribution.
p	a numeric value representing the number of channels used in the EEG recording.
scm_matrix	a matrix in which the density value will be computed.

Value

It returns a numeric value indicating the estimate density in scm_matrix.

Author(s)

Laura Masiero, email: [e-mail]

References

Said, Salem, Lionel Bombrun, Yannick Berthoumieu e Jonathan Manton (2015). "Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices". In: arXiv: 1507 . 01760. url: http://arxiv.org/abs/1507.01760.

LauraMasiero/RiemannR documentation built on Sept. 29, 2020, 9:51 p.m.