lmeresampler
Bootstrap Methods for Nested Linear Mixed-Effects Models
Bootstrap routines for nested linear mixed effects models fit using either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the parametric, residual, cases, random effect block (REB), and wild bootstrap procedures. An overview of these procedures can be found in Van der Leeden et al. (2008) doi:10.1007/978-0-387-73186-5_11, Carpenter, Goldstein & Rasbash (2003) doi:10.1111/1467-9876.00415, and Chambers & Chandra (2013) doi:10.1080/10618600.2012.681216.
- Version0.2.4
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release02/11/2023
Documentation
Team
Adam Loy
Spenser Steele
Show author detailsRolesAuthorJenna Korobova
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 528 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 13 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 6,759 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Sep 26, 2024 with 65 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
- Imports12 packages
- Suggests8 packages
- Reverse Imports2 packages