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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: | 1.1.2 |
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: | 2023-07-17 |
DOI: | 10.32614/CRAN.package.LongDat |
Author: | Chia-Yu Chen |
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 |
Reference manual: | LongDat.pdf |
Vignettes: |
longdat_cont_tutorial longdat_disc_tutorial |
Package source: | LongDat_1.1.2.tar.gz |
Windows binaries: | r-devel: LongDat_1.1.2.zip, r-release: LongDat_1.1.2.zip, r-oldrel: LongDat_1.1.2.zip |
macOS binaries: | r-release (arm64): LongDat_1.1.2.tgz, r-oldrel (arm64): LongDat_1.1.2.tgz, r-release (x86_64): LongDat_1.1.2.tgz, r-oldrel (x86_64): LongDat_1.1.2.tgz |
Old sources: | LongDat archive |
Please use the canonical form https://CRAN.R-project.org/package=LongDat to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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