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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | SLTCA_0.1.0.tar.gz |
60.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | SLTCA_0.1.0.tar.gz |
60.3 KiB |
0.1.0 |
rolling source/ R- | SLTCA_0.1.0.tar.gz |
11.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | SLTCA_0.1.0.tar.gz |
60.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | SLTCA_0.1.0.tar.gz |
60.3 KiB |
0.1.0 |
latest source/ R- | SLTCA_0.1.0.tar.gz |
11.1 KiB |
0.1.0 |
2026-04-26 source/ R- | SLTCA_0.1.0.tar.gz |
11.1 KiB |
0.1.0 |
2026-04-23 source/ R- | SLTCA_0.1.0.tar.gz |
11.1 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | SLTCA_0.1.0.zip |
62.6 KiB |
0.1.0 |
2025-04-20 source/ R- | SLTCA_0.1.0.tar.gz |
11.1 KiB |