person("Akarsh", "Goyal", role = "ctb"))
Junyang Qian [ctb] (code adapted from 'glmnet'),

person("Akarsh", "Goyal", role = "ctb"),
person("Krystyna", "Grzesiak", role = "ctb")
Suggests: caret, covr, glmnet, ggplot2, stringr, scales, tidyr, dplyr,
bench, knitr, rmarkdown, spelling, testthat (>= 2.1.0)

person("Krystyna", "Grzesiak", role = "aut"),
Imports: checkmate, foreach, ggplot2, glmnet, Matrix, methods, mice,
Suggests: bench, caret, covr, dplyr, knitr, rmarkdown, scales,
spelling, stringr, testthat (>= 2.1.0), tidyr, vdiffr

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>.
Imports: stats, geepack, VGAM, Matrix, mvtnorm
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"))

Title: Miscellaneous Functions for analysis of gene expression data at SIRS-Lab GmbH
Maintainer: Dr. Matthias Kohl <kohl@sirs-lab.com>
Description: Miscellaneous Functions for analysis of gene expression data at SIRS-Lab GmbH
Depends: R(>= 2.4.0), stats, graphics, marray, limma, geneplotter, plotrix(>= 2.1.6)
Packaged: Tue Jan  2 14:36:46 2007; kohl

Depends: R(>= 2.4.0), stats, graphics, plotrix(>= 2.1.6)

Packaged: Thu Apr 12 15:43:11 2007; kohl

Packaged: Wed Apr 11 15:45:03 2007; kohl

Title: Sequential Multiple Assignment Randomized Trial and Adaptive
Description: Primary data analysis for sequential multiple assignment randomization trial (SMART) and calibration tools for clinical trial planning purposes.
The methods used for this package include:
(1) Likelihood-based global test (hypothesis test, power calculation) by in Zhong X., Cheng, B., Qian M., Cheung Y.K. (2019) <doi:10.1016/j.cct.2019.105830>.
(2) IPWE-based global test (hypotehsis test, power calculation) by Ogbagaber S.B., Karp J., Wahed A.S. (2016) <doi:10.1002/sim.6747>.
(3) G estimates (pairwise comparison, power calculation) by  Lavori R., Dawson P.W. (2012) <doi:10.1093/biostatistics/kxr016>.
(4) IPW estimates (pairwise comparison, power calculation) by Murphy S.A. (2005) <doi:10.1002/sim.2022>.
(5) SAMRT with adaptive randomization by Cheung Y.K. (2015) <doi:10.1111/biom.12258>.