ACi2q: Ascertainment correction piece for bivariate sampling

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

Description

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

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

Usage

ACi2q(cutpoints, SampProb, mu_q, sigma_q)

ACi2q(cutpoints, SampProb, mu_q, sigma_q)

Arguments

cutpoints	cutpoints defining the sampling regions. (a vector of length 4: c(xlow, xhigh, ylow, yhigh))
SampProb	Sampling probabilities from within each of two sampling regions; central region and outlying region (vector of length 2).
mu_q	a 2-vector for the mean value of the bivariate Q_i distribution
sigma_q	a 2 by 2 covariance matrix for the bivariate Q_i distribution
cutpoints	cutpoints defining the sampling regions. (a vector of length 4: c(xlow, xhigh, ylow, yhigh))
SampProb	Sampling probabilities from within each of two sampling regions; central region and outlying region (vector of length 2).
mu_q	a 2-vector for the mean value of the bivariate Q_i distribution.
sigma_q	a 2 by 2 covariance matrix for the bivariate Q_i distribution.

Value

Not yet log transformed ascertainment correction

Not yet log transformed ascertainment correction

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