li.lme: Calculate a subject-specific contribution to a log-likelihood...

In schildjs/ods4lda: Outcome Dependent Sampling (ODS) Designs for Linear Mixed Models Data Analysis

Description

Calculate a subject-specific contribution to a log-likelihood for longitudinal normal data

Calculate a subject-specific contribution to a log-likelihood for longitudinal normal data

Usage

li.lme(yi, xi, beta, vi)

li.lme(yi, xi, beta, vi)

Arguments

yi	n_i-response vector
xi	n_i by p design matrix for fixed effects
beta	mean model parameter vector
vi	the variance covariance matrix (ZDZ+Sige2*I)
yi	n_i-response vector
xi	n_i by p design matrix for fixed effects
beta	mean model parameter vector
vi	the variance covariance matrix (ZDZ+Sige2*I)

Value

subject specific contribution to the log-likelihood

subject specific contribution to the log-likelihood

schildjs/ods4lda documentation built on March 16, 2020, 8:16 a.m.