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LongDat: A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data
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.
Getting started
Browse package contents
Package details |
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| Author | Chia-Yu Chen [aut, cre] (<https://orcid.org/0000-0003-1765-7132>), Sofia Forslund [ctb] (<https://orcid.org/0000-0003-4285-6993>) |
| Maintainer | Chia-Yu Chen <Chia-Yu.Chen@mdc-berlin.de> |
| License | GPL-2 |
| Version | 1.1.3 |
| URL | https://github.com/CCY-dev/LongDat |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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