AsynchLong
Regression Analysis of Sparse Asynchronous Longitudinal Data
Estimation of regression models for sparse asynchronous longitudinal observations, where time-dependent response and covariates are mismatched and observed intermittently within subjects. Kernel weighted estimating equations are used for generalized linear models with either time-invariant or time-dependent coefficients. Cao, H., Li, J., and Fine, J. P. (2016). Cao, H., Zeng, D., and Fine, J. P. (2015).
- Version2.3
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release11/24/2023
Documentation
Team
Shannon T. Holloway
Hongyuan Cao
Donglin Zeng
Jialiang Li
Jason P. Fine
Insights
Last 30 days
This package has been downloaded 340 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 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 5,141 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Jul 21, 2024 with 69 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