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.
Version: 1.1.3 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 Published: 2024-11-19 DOI: 10.32614/CRAN.package.LongDat Author: Chia-Yu Chen [aut, cre], Sofia Forslund [ctb] Maintainer: Chia-Yu Chen <Chia-Yu.Chen at mdc-berlin.de> BugReports: https://github.com/CCY-dev/LongDat/issues License: GPL-2 URL: https://github.com/CCY-dev/LongDat NeedsCompilation: no Language: en-US Citation: LongDat citation info Materials: README NEWS CRAN checks: LongDat results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=LongDat to link to this page.
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