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

Package details

AuthorKari Hart [aut], Teng Fei [cre, aut] (<>), John Hanfelt [aut] (<>)
MaintainerTeng Fei <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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SLTCA documentation built on Jan. 13, 2021, 5:14 p.m.