SimTimeVar
Simulate Longitudinal Dataset with Time-Varying Correlated Covariates
Flexibly simulates a dataset with time-varying covariates with user-specified exchangeable correlation structures across and within clusters. Covariates can be normal or binary and can be static within a cluster or time-varying. Time-varying normal variables can optionally have linear trajectories within each cluster. See ?make_one_dataset for the main wrapper function. See Montez-Rath et al. doi:10.48550/arXiv.1709.10074 for methodological details.
- Version1.0.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release09/30/2017
Team
Maya B. Mathur
Kristopher Kapphahn
Ariadna Garcia
Manisha Desai
Maria E. Montez-Rath
Insights
Last 30 days
This package has been downloaded 105 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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
This package has been downloaded 1,458 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 23 downloads.
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
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Dependencies
- Imports8 packages