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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.4 |
rolling source/ R- | lmeresampler_0.2.4.tar.gz |
575.0 KiB |
0.2.4 |
latest source/ R- | lmeresampler_0.2.4.tar.gz |
575.0 KiB |
0.2.4 |
2026-04-23 source/ R- | lmeresampler_0.2.4.tar.gz |
575.0 KiB |
0.2.4 |
2026-04-09 windows/windows R-4.5 | lmeresampler_0.2.4.zip |
398.7 KiB |