Nothing
SLTCA: Scalable and Robust Latent Trajectory Class Analysis
Conduct latent trajectory class analysis with longitudinal data. Our method supports longitudinal continuous, binary and count data. For more methodological details, please refer to Hart, K.R., Fei, T. and Hanfelt, J.J. (2020), Scalable and robust latent trajectory class analysis using artificial likelihood. Biometrics <doi:10.1111/biom.13366>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Kari Hart [aut], Teng Fei [cre, aut] (<https://orcid.org/0000-0001-7888-1715>), John Hanfelt [aut] (<https://orcid.org/0000-0002-8488-6771>) |
| Maintainer | Teng Fei <tfei@emory.edu> |
| License | GPL (>= 2) |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the SLTCA package in your browser
Any scripts or data that you put into this service are public.
