vMFPmodel: von Mises Fisher Procrustes model

Description Usage Arguments Value Author(s)

View source: R/vMFPmodel.R

Description

perform the functional alignment using the von Mises Fisher Procrustes model

Usage

1
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.