Package: LongDat
Type: Package
Title: A Tool for 'Covariate'-Sensitive Longitudinal Analysis on
        'omics' Data
Version: 1.1.4
Authors@R: c(person(given = "Chia-Yu",
           family = "Chen",
           role = c("aut", "cre"),
           email = "jessica821112@gmail.com",
           comment = c(ORCID = "0000-0003-1765-7132")),
           person(given = "Sofia",
           family = "Forslund",
           role = "ctb",
           email = "Sofia.Forslund@mdc-berlin.de",
           comment = c(ORCID = "0000-0003-4285-6993")))
Description: This tool takes longitudinal dataset as input and analyzes if there is significant 
             change of the features over time (a proxy for treatments), while detects and controls 
             for 'covariates' simultaneously. 'LongDat' is able to take in several data types as input, 
             including count, proportion, binary, ordinal and continuous data. The output table contains 
              p values, effect sizes and 'covariates' of each feature, making the downstream analysis easy.
License: GPL-2
Encoding: UTF-8
Language: en-US
LazyData: true
URL: https://github.com/CCY-dev/LongDat
BugReports: https://github.com/CCY-dev/LongDat/issues
RoxygenNote: 7.2.3
Depends: R (>= 4.0.0)
Imports: lme4, reshape2, glmmTMB, emmeans, bestNormalize, MASS,
        ggplot2, stringr, magrittr, tibble, dplyr, graphics, utils,
        stats, rlang, car, rstatix, effsize, tidyr, patchwork
Suggests: rmarkdown, knitr, kableExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-08 01:12:58 UTC; Jessica
Author: Chia-Yu Chen [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1765-7132>),
  Sofia Forslund [ctb] (ORCID: <https://orcid.org/0000-0003-4285-6993>)
Maintainer: Chia-Yu Chen <jessica821112@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-08 06:10:30 UTC
Built: R 4.5.2; ; 2026-07-08 10:09:53 UTC; unix
