simulation: Simulate a dataset which can be analyzed by SLTCA
Description
Simulate a dataset with longitudinal observations.
Usage
simulation(n)
Arguments
n
Sample size.
Value
Returns a data frame with 6 longitudinal features y.1 - y.6, including count (y.1 and y.2), binary (y.3 and y.4) and continuous (y.5 and y.6) type. Variable baselinecov is the baseline risk factor of latent classes. Variable latent is the true latent class labels.
References
Hart, K.R., Fei, T. and Hanfelt, J.J. (2020), Scalable and robust latent trajectory class analysis using artificial likelihood. Biometrics. Accepted Author Manuscript <doi:10.1111/biom.13366>.