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>.

Package details

AuthorAdam Loy [aut, cre] (<https://orcid.org/0000-0002-5780-4611>), Spenser Steele [aut], Jenna Korobova [aut]
MaintainerAdam Loy <loyad01@gmail.com>
LicenseGPL-3
Version0.2.2
URL https://github.com/aloy/lmeresampler
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("lmeresampler")

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lmeresampler documentation built on April 30, 2022, 1:06 a.m.