longpower
Sample Size Calculations for Longitudinal Data
Compute power and sample size for linear models of longitudinal data. Supported models include mixed-effects models and models fit by generalized least squares and generalized estimating equations. The package is described in Iddi and Donohue (2022) doi:10.32614/RJ-2022-022. Relevant formulas are derived by Liu and Liang (1997) doi:10.2307/2533554, Diggle et al (2002) ISBN:9780199676750, and Lu, Luo, and Chen (2008) doi:10.2202/1557-4679.1098.
- Version1.0.27
- R version≥ 3.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release09/05/2024
Documentation
Team
Michael C. Donohue
Steve D. Edland
Show author detailsRolesContributorNan Hu
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 948 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 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 14,968 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Aug 28, 2024 with 179 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.
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Dependencies
- Depends2 packages
- Suggests4 packages
- Reverse Imports1 package