CreateSubjectData: Create a list of subject-specific data

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

Description

Create a list of subject-specific data

Usage

CreateSubjectData(id, y, x, z, Weights, SampProb, cutpoints, w.function)

Arguments

id	sum(n_i) vector of subject ids
y	response vector
x	sum(n_i) by p design matrix for fixed effects
z	sum(n_i) by 2 design matric for random effects (intercept and slope)
Weights	Subject specific sampling weights. A vector of length sum(n_i). Not used unless using weighted Likelihood
SampProb	A matrix with the first dimension equal to sum(n_i). Sampling probabilities from within each region [bivariate Q_i: each row is a vector of length 2 c(central region, outlying region); univariate Q_i: each row is a vector of length 3 with sampling probabilities for each region]. Each subject should have n_i rows of the same values.
cutpoints	A matrix with the first dimension equal to sum(n_i). These cutpoints define the sampling regions [bivariate Q_i: each row is a vector of length 4 c(xlow, xhigh, ylow, yhigh); univariate Q_i: each row is a vector of length 2 c(k1,k2) to define the sampling regions, i.e., low, middle, high]. Each subject should have n_i rows of the same values.
w.function	sum(n_i) vector with possible values that include "mean" "intercept" "slope" and "bivar." There should be one unique value per subject

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