Package: SLTCA
Type: Package
Title: Scalable and Robust Latent Trajectory Class Analysis
Description: 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>.
Depends: R (>= 3.3.0)
Imports: stats, geepack, VGAM, Matrix, mvtnorm
Version: 0.1.0
Authors@R: c(
    person("Kari", "Hart", email = "khart@peddie.org", role = "aut"),
    person("Teng", "Fei", email = "tfei@emory.edu", role = c("cre","aut"), comment = c(ORCID = "0000-0001-7888-1715")),
    person("John", "Hanfelt", email = "jhanfel@emory.edu", role = "aut", comment = c(ORCID = "0000-0002-8488-6771"))
    )
Maintainer: Teng Fei <tfei@emory.edu>
BugReports: https://github.com/tengfei-emory/SLTCA/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-17 18:18:58 UTC; TFEI
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>)
Repository: CRAN
Date/Publication: 2020-09-23 15:30:07 UTC
Built: R 4.6.0; ; 2026-04-26 02:40:37 UTC; unix
