c(person("Alexandra", "Kuznetsova", role = c("aut")),
person("Per", "Bruun Brockhoff", role = c("aut", "ths"),
email = "perbb@dtu.dk"),
person("Rune", "Haubo Bojesen Christensen", role =  c("aut", "cre"),
email = "Rune.Haubo@gmail.com"),
person("Sofie", "Pødenphant Jensen", role=c("ctb"), email="sofp@dtu.dk"))
Alexandra Kuznetsova [aut],
Per Bruun Brockhoff [aut, ths],
Rune Haubo Bojesen Christensen [aut, cre],
Sofie Pødenphant Jensen [ctb]
Rune Haubo Bojesen Christensen <Rune.Haubo@gmail.com>

Bootstrap Methods for Nested Linear Mixed-Effects Models
c(person("Adam", "Loy", email = "loyad01@gmail.com",
role = c("aut", "cre")), person("Spenser", "steele", role = "aut"))
Bootstrap routines for nested linear mixed effects models fit using
either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the
parametric, semi-parametric (i.e., CGR), residual, cases, and random effect
block (REB) bootstrap procedures.
boot, plyr, dplyr, Matrix, nlmeU, RLRsim
Adam Loy [aut, cre],
Spenser steele [aut]

Bootstrap routines for nested linear mixed effects models fit using
either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the
parametric, residual, cases, semi-parametric (i.e., CGR),  and random effect
block (REB) 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>.
boot, plyr, dplyr (>= 0.8.0), Matrix, nlmeU, RLRsim

c(person("Adam", "Loy", email = "loyad01@gmail.com",
role = c("aut", "cre")), person("Spenser", "Steele", role = "aut"),
person("Jenna", "Korobova", role = "aut"))
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>.
catchr, dplyr (>= 0.8.0), Matrix, nlmeU, ggplot2, ggdist,
HLMdiag, purrr, forcats, stats, statmod, magrittr
lme4 (>= 1.1-7), nlme, testthat, mlmRev, knitr, rmarkdown,
doParallel, foreach
Adam Loy [aut, cre],
Spenser Steele [aut],
Jenna Korobova [aut]