logACi2q.score2: Gradient of the log of the ascertainment correction piece for...

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

Description

Calculate the gradient of the log transformed ascertainment correction under designs that sample based on a bivariate Q_i (numerically).

Usage

logACi2q.score2(subjectData, beta, sigma.vc, rho.vc, sigma.e)

Arguments

subjectData	a list containing: yi, xi, zi, Weights.i, w.function, SampProb, cutpoints
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
sigmae	std dev of the measurement error distribution

Value

gradient of the log transformed ascertainment correction under the bivariate sampling design

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