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 556 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 26 times.
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Last 365 days
This package has been downloaded 6,769 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Sep 26, 2024 with 65 downloads.
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Dependencies
- Imports12 packages
- Suggests8 packages
- Reverse Imports2 packages