Bootstrap Methods for Nested Linear Mixed-Effects Models
Bootstrap Nested Linear Mixed-Effects Models
Calculate Bootstrap p-values for fixed effects
Cases Bootstrap for Nested LMEs
Combine bootstrap results
Combine p-values
Calculate confidence intervals for a lmeresamp object
Extract parameters from LME models
lmeresampler: A package for bootstrapping nested linear mixed-effects ...
Parametric Bootstrap for Nested LMEs
Pipe operator
Plot bootstrap results
Print coefficients from a coef_tbl object
Print a summary of an lmeresamp object
REB Bootstrap for Two-Level Nested LMEs
Residual Bootstrap for Nested LMEs
Calculate summary statistics for lmeresamp objects
Wild Bootstrap for LME 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>.