estimate_scores: Solve the GLMM based on the Estimates of the scores for the...

In acweisha/gFPCAClassif: Classification of Binary Functional Data

Description

Solve the GLMM based on the Estimates of the scores for the multilevel scenario

Usage

estimate_scores(
  data_formatted,
  s_mat,
  J,
  I,
  eigen_vals1,
  eigen_vals2,
  eigen_funcs1,
  eigen_funcs2,
  mu_t
)

Arguments

data_formatted	NJ x D binary matrix
s_mat	Matrix of estimated latent state values S
J	Number of curves per subject
I	N Number of subjects
eigen_vals1	Vector of Eigenvalues of the first level (individual) effects
eigen_vals2	Vector of Eigenvalues of the second level (daily) effects
eigen_funcs1	Matrix K1 x D of eigenfunctions of first level
eigen_funcs2	Matrix K2 x D of eigenfunctions of second level
mu_t	Mean function vector

Value

First Level Scores for every individual

acweisha/gFPCAClassif documentation built on Dec. 18, 2021, 10:23 p.m.