li.lme.score: Subject specific contribution to the lme model score (also...
In schildjs/ods4lda: Outcome Dependent Sampling (ODS) Designs for Linear Mixed Models Data Analysis

Subject specific contribution to the lme model score (also returns marginal Vi=Cov(Y|X))

1	li.lme.score(subjectData, beta, sigma0, sigma1, rho, sigmae)

`subjectData`	a list that contains yi, xi, zi, SampProbi.i. Note that SampProbi.i is used for IPW only.
`beta`	mean model parameter p-vector
`sigma0`	std dev of the random intercept distribution
`sigma1`	std dev of the random slope distribution
`rho`	correlation between the random intercept and slope
`sigmae`	std dev of the measurement error distribution

Subject specific contribution to the log-likelihood score (also returns marginal Vi=Cov(Y|X))

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

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