ACi1q: Ascertainment correction piece for univariate sampling
In schildjs/ods4lda: Outcome Dependent Sampling (ODS) Designs for Linear Mixed Models Data Analysis

Calculate the (not yet log transformed) ascertainment correction under a univariate Q_i

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ACi1q(cutpoints, SampProb, mu_q, sigma_q)

ACi1q(cutpoints, SampProb, mu_q, sigma_q)

`cutpoints`	cutpoints defining the sampling regions. (a vector of length 2)
`SampProb`	Sampling probabilities from within each region (vector of length 3).
`mu_q`	a scalar for the mean value of the Q_i distribution
`sigma_q`	a scalar for the standard deviation of the Q_i distribution
`cutpoints`	cutpoints defining the sampling regions. (a vector of length 2)
`SampProb`	Sampling probabilities from within each region (vector of length 3).
`mu_q`	a scalar for the mean value of the Q_i distribution
`sigma_q`	a scalar for the standard deviation of the Q_i distribution

Not yet log transformed ascertainment correction

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

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