Package: LongDat
Type: Package
Title: A Tool for 'Covariate'-Sensitive Longitudinal Analysis on
        'omics' Data
Version: 1.1.3
Authors@R: c(person(given = "Chia-Yu",
           family = "Chen",
           role = c("aut", "cre"),
           email = "Chia-Yu.Chen@mdc-berlin.de",
           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
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://ccy-dev.r-universe.dev
Date/Publication: 2024-11-19 01:52:43 UTC
RemoteUrl: https://github.com/ccy-dev/longdat
RemoteRef: HEAD
RemoteSha: e992370baf5d3229a52463d8f425b74013d732d7
NeedsCompilation: no
Packaged: 2026-10-09 09:13:05 UTC; root
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 <Chia-Yu.Chen@mdc-berlin.de>