CRAN/E | lmeresampler

lmeresampler

Bootstrap Methods for Nested Linear Mixed-Effects Models

Installation

About

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.

github.com/aloy/lmeresampler
Bug report File report

Key Metrics

Version 0.2.4
R ≥ 3.5.0
Published 2023-02-11 412 days ago
Needs compilation? no
License GPL-3
CRAN checks lmeresampler results

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Maintainer

Maintainer

Adam Loy

loyad01@gmail.com

Authors

Adam Loy

aut / cre

Spenser Steele

aut

Jenna Korobova

aut

Material

README
NEWS
Reference manual
Package source

In Views

MixedModels

Vignettes

lmeresampler-vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

lmeresampler archive

Depends

R ≥ 3.5.0

Imports

dplyr ≥ 0.8.0
Matrix
nlmeU
ggplot2
ggdist
HLMdiag
purrr
forcats
stats
statmod
tidyr
magrittr
tibble

Suggests

lme4 ≥ 1.1-7
nlme
testthat
mlmRev
knitr
rmarkdown
doParallel
foreach