harmsCut

the coefficients matrix, see the description
 for more details

harms

vector containing the number of basis for
 each dimension

nbasis

This function is used in mfpca to cut the harmonic
 coefficient matrix. In fact mfpca call a c++ mfpca which
 return (among others) the matrix of the coefficients of
 the harmonics in the basis expantion. But in the
 multivariate case the coefficient matrix for all
 dimension are store in the same matrix, so we use this
 function to store each dimension in the specific matrix.

This package proposes a model-based clustering algorithm for
multivariate functional data. The parametric mixture model, based on the
assumption of normality of the principal components resulting from a
multivariate functional PCA, is estimated by an EM-like algorithm. The main
advantage of the proposed algorithm is its ability to take into account the
dependence among curves.

harmsCut: Separates the matrices of the coefficients of harmonics

Description

Usage

Arguments

Value