expectedScores {registr}

Calculate expected score and score variance for the current subject.

Description

Calculations derived using maximum likelihood estimation.

Usage

expectedScores(Y, mu, psi, theta, theta_quad)

Arguments

Y

vector of observations for the current subject.

mu

vector of spline coefficients for the population mean.

psi

matrix of spline coefficients for the principal component basis functions.

theta

spline basis functions for the current subject.

theta_quad

quadratic form of theta for the current subject.

Value

A list with expected score mean and variance for the current subject.