vMFPmodel: von Mises Fisher Procrustes model

In angeella/vMFPmodelR: What the package does (short line)

Description

perform the functional alignment using the von Mises Fisher Procrustes model

Usage

vMFPmodel(data, maxIt=10, t=.001, k = 0, Q = NULL, ref_ds = NULL, scaling= T, reflection= T, subj= F)

Arguments

data	data, i.e., array of matrices with dimension time points - voxels
maxIt	maximum number of iteration
t	the threshold value to be reached as the minimum relative reduction between the matrices
k	value of the concentration parameter of the prior distribution
Q	value of the location parameter of the prior distribution. It has dimension voxels x voxels, it could be not symmetric.
ref_ds	starting matrix to align
scaling	Flag to apply scaling transformation
reflection	Flag to apply reflection transformation
subj	Flag if each subject has his/her own set of voxel after voxel selection step
centered	centered data?

Value

Returns list of matrices

Author(s)

Angela Andreella

angeella/vMFPmodelR documentation built on Oct. 10, 2020, 2:28 p.m.