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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.

Versions across snapshots

VersionRepositoryFileSize
1.1.3 rolling linux/jammy R-4.5 LongDat_1.1.3.tar.gz 792.0 KiB
1.1.3 rolling linux/noble R-4.5 LongDat_1.1.3.tar.gz 792.1 KiB
1.1.3 rolling source/ R- LongDat_1.1.3.tar.gz 643.9 KiB
1.1.3 latest linux/jammy R-4.5 LongDat_1.1.3.tar.gz 792.0 KiB
1.1.3 latest linux/noble R-4.5 LongDat_1.1.3.tar.gz 792.1 KiB
1.1.3 latest source/ R- LongDat_1.1.3.tar.gz 643.9 KiB
1.1.3 2026-04-26 source/ R- LongDat_1.1.3.tar.gz 643.9 KiB
1.1.3 2026-04-23 source/ R- LongDat_1.1.3.tar.gz 643.9 KiB
1.1.3 2026-04-09 windows/windows R-4.5 LongDat_1.1.3.zip 796.2 KiB
1.1.3 2025-04-20 source/ R- LongDat_1.1.3.tar.gz 643.9 KiB

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