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 .


Reference manual

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install.packages("SLTCA")

0.1.0 by Teng Fei, 6 years ago


Report a bug at https://github.com/tengfei-emory/SLTCA/issues


Browse source code at https://github.com/cran/SLTCA


Authors: Kari Hart [aut] , Teng Fei [cre, aut] , John Hanfelt [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, geepack, VGAM, Matrix, mvtnorm


See at CRAN