glmmboot

Bootstrap Resampling for Mixed Effects and Plain Models

Performs bootstrap resampling for most models that update() works for. There are two main functions: BootGlmm() performs block resampling if random effects are present, and case resampling if not; BootCI() converts output from bootstrap model runs into confidence intervals and p-values. By default, BootGlmm() calls BootCI(). Package motivated by Humphrey and Swingley (2018) <arXiv:1805.08670>.

Total

5,353

Last month

291

Last week

64

Average per day

10

Daily downloads

Total downloads

Description file content

Package
glmmboot
Type
Package
Title
Bootstrap Resampling for Mixed Effects and Plain Models
Version
0.3.0
Description
Performs bootstrap resampling for most models that update() works for. There are two main functions: BootGlmm() performs block resampling if random effects are present, and case resampling if not; BootCI() converts output from bootstrap model runs into confidence intervals and p-values. By default, BootGlmm() calls BootCI(). Package motivated by Humphrey and Swingley (2018) .
License
AGPL-3 | file LICENSE
URL
Encoding
UTF-8
LazyData
true
Depends
R (>= 3.1)
Imports
methods, stats
Suggests
glmmTMB (>= 0.2.1), testthat (>= 0.11.0), pbapply (>= 1.3.0), parallel (>= 3.0.0), knitr, rmarkdown
RoxygenNote
6.1.1
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-12-26 14:29:52 UTC; ripley
Author
Colman Humphrey [aut, cre]
Maintainer
Colman Humphrey
Repository
CRAN
Date/Publication
2018-12-26 15:30:47

install.packages('glmmboot')

0.3.0

a month ago

https://github.com/ColmanHumphrey/glmmboot

Colman Humphrey

AGPL-3 | file LICENSE

Depends on

R (>= 3.1)

Imports

methods, stats

Suggests

glmmTMB (>= 0.2.1), testthat (>= 0.11.0), pbapply (>= 1.3.0), parallel (>= 3.0.0), knitr, rmarkdown

Discussions