Package: CIMPLE
Title: Analysis of Longitudinal Electronic Health Record (EHR) Data
        with Possibly Informative Observational Time
Version: 0.1.0
Authors@R: c(
    person("Jiacong", "Du", email = "jiacong@umich.edu", role = c("aut"),
           comment = c(ORCID = "0000-0002-7768-9083")),
    person("Howard", "Baik", email = "howard.baik@yale.edu", role = c("cre"),
            comment = c(ORCID = "0009-0000-8942-1618"))
           )
Description: Analyzes longitudinal Electronic Health Record (EHR) data with possibly informative observational time. These methods are grouped into two classes depending on the inferential task. One group focuses on estimating the effect of an exposure on a longitudinal biomarker while the other group assesses the impact of a longitudinal biomarker on time-to-diagnosis outcomes. The accompanying paper is Du et al (2024) <doi:10.48550/arXiv.2410.13113>.
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: dplyr, JMbayes2, lme4, mice, nleqslv, nlme, statmod, stats,
        survival, utils
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2024-11-09 05:45:29 UTC; hb636
Author: Jiacong Du [aut] (<https://orcid.org/0000-0002-7768-9083>),
  Howard Baik [cre] (<https://orcid.org/0009-0000-8942-1618>)
Maintainer: Howard Baik <howard.baik@yale.edu>
Repository: CRAN
Date/Publication: 2024-11-12 13:20:10 UTC
Built: R 4.6.0; ; 2025-10-14 03:59:03 UTC; windows
