GPASub: ProMises model with known reference matrix

In angeella/vMFPmodelR: Functional alignment by ProMises (Procrustes von Mises) model

ProMises model with known reference matrix

Description

Perform functional alignment of a matrix by von Mises Fisher Procrustes model with known reference matrix.

Usage

GPASub(
  X,
  Q = NULL,
  k,
  ref_ds,
  scaling = TRUE,
  reflection = TRUE,
  centered = TRUE
)

Arguments

X	data, i.e., matrix with dimension time points - voxels.
Q	value of the location parameter of the prior distribution. It has dimension voxels x voxels, it could be not symmetric.
k	value of the concentration parameter of the prior distribution of the rotation parameter.
ref_ds	reference matrix to align.
scaling	Flag to apply scaling transformation.
reflection	Flag to apply reflection transformation.
centered	centered data?

Value

GPASub returns a list with two components:

Xest	the aligned matrix
R	the rotation matrix

Author(s)

Angela Andreella and Daniela Corbetta

angeella/vMFPmodelR documentation built on March 9, 2024, 4:51 a.m.