LogLikeiC2: Calculate the ss contributions to the conditional likelihood...

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

Description

Calculate the ss contributions to the conditional likelihood for the univariate and bivariate sampling cases.

Usage

LogLikeiC2(subjectData, beta, sigma.vc, rho.vc, sigma.e)

Arguments

subjectData	a list containing: yi, xi, zi, Weights.i
beta	mean model parameter p-vector
sigma.vc	vector of variance components on standard deviation scale
rho.vc	vector of correlations among the random effects. The length should be q choose 2
sigma.e	std dev of the measurement error distribution
w.function	options include "mean" "intercept" "slope" and "bivar"
cutpoints	cutpoints defining the sampling regions. (a vector of length 4 c(xlow, xhigh, ylow, yhigh))
SampProb	Sampling probabilities from within each region (vector of length 2 c(central region, outlying region)).

Value

ss contributions to the conditional log likelihood. This is an internal function used by LogLikeC2

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