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.
- Version1.1.3
- R version≥ 4.0.0
- LicenseGPL-2
- Needs compilation?No
- Languageen-US
- LongDat citation info
- Last release11/19/2024
Documentation
Team
Chia-Yu Chen
Sofia Forslund
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN