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LongDat  

A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data
View on CRAN: Click here


Download and install LongDat package within the R console
Install from CRAN:
install.packages("LongDat")

Install from Github:
library("remotes")
install_github("cran/LongDat")

Install by package version:
library("remotes")
install_version("LongDat", "1.1.4")



Attach the package and use:
library("LongDat")
Maintained by
Chia-Yu Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-18
Latest Update: 2024-11-19
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.
How to cite:
Chia-Yu Chen (2022). LongDat: A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data. R package version 1.1.4, https://cran.r-project.org/web/packages/LongDat. Accessed 02 Nov. 2026.
Previous versions and publish date:
1.0.0 (2022-01-18 21:42), 1.0.1 (2022-02-02 14:40), 1.0.2 (2022-02-17 12:00), 1.0.3 (2022-02-26 01:40), 1.0.4 (2022-06-01 11:30), 1.0.5 (2022-06-21 18:20), 1.1.0 (2022-07-14 12:00), 1.1.1 (2023-04-17 17:40), 1.1.2 (2023-07-17 07:40), 1.1.3 (2024-11-19 04:20), (2026-07-09 08:08)
Other packages that cited LongDat R package
View LongDat citation profile
Other R packages that LongDat depends, imports, suggests or enhances
Complete documentation for LongDat
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