Description Usage Arguments Value
Calculate the gradient of the log transformed ascertainment correction for sampling based on univariate Q_i
1 | logACi1q.score2(subjectData, beta, sigma.vc, rho.vc, sigma.e)
|
subjectData |
a list containing: yi, xi, zi, Weights.i, w.function.i, SampProb.i, cutpoints.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 |
gradient of the log transformed ascertainment correction under univariate $Q_i$
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