Simdata15: Simulated Dataset 15

In marlod: Marginal Modeling for Exposure Data with Values Below the LOD

Simulated Dataset 15

Description

The 15th dataset from the simulation study has 100 subjects (sample size is 30). Each subject has three repeated measurements. The independent variables or covariates are simulated from a Bernoulli distribution with a parameter value of p = 0.5 and a uniform distribution U(0, 1), respectively. Correlated errors for models with repeated measures are accounted for and assumed to follow a multivariate normal distribution, MVN(0, R(\alpha)). A first-order autoregressive (AR-1) correlation structure with a correlation parameter of \alpha = 0.7 is incorporated into the multivariate normal distribution. The true values of 1, 1, and 1 are corresponded to the marginal intercept and two slopes, accordingly.

Usage

data("simdata15")

Format

A data frame with 30 subjects and each subject has three repeated measurements, i.e., number of cluster size or time points. A list that contains two variables:

y

A column matrix of the continuous outcome values.

int

A column matrix of the intercept values of one.

x1

A column matrix of the binary covariate values that follow a Bernoulli distribution.

x2

A column matrix of the continuous covariate values that follow a uniform distribution.

id

A column matrix of the numbers of identification.

visit

A column matrix of the order of cluster size or time points.

Examples

library(marlod)
data(simdata15)

marlod documentation built on June 8, 2025, 10:32 a.m.