| SimulatedData {NVCSSL} | R Documentation |
Simulated data for illustration
Description
This is a simulated dataset for illustration. It contains a total of N=436 observations at irregularly spaced time points for n=50 subjects. There are p=100 covariates.
Usage
data(SimulatedData)Details
This simulated dataset contains N=436 observations for n=50 subjects, with p=100 covariates. The first column y gives the response variables, the second column t gives the observation times, the third column id gives the unique IDs for each of the 50 subjects, and columns 4-103 (x1, ..., x100) give the covariate values.
This synthetic dataset is a slight modification from Experiment 2 in Section 5.1 of Bai et al. (2023). We use p=100 for illustration, instead of p=500 as in the paper.
References
Bai, R., Boland, M. R., and Chen, Y. (2023). "Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance." arXiv pre-print arXiv:1907.06477.