lmeresampler

Bootstrap Methods for Nested Linear Mixed-Effects Models

CRAN Package

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


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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27 downloadsMar 5, 2025
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36 downloadsApr 1, 2025
26 downloadsApr 2, 2025
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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 6,769 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.

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


Binaries


Dependencies

  • Imports12 packages
  • Suggests8 packages
  • Reverse Imports2 packages