CRAN/E | confintROB

confintROB

Bootstrap Confidence Intervals for Robust and Classical Linear Mixed Model Estimators

Installation

About

The main function calculates confidence intervals (CI) for Mixed Models, utilizing both classical estimators from the lmer() function in the 'lme4' package and robust estimators from the rlmer() function in the 'robustlmm' package, as well as the varComprob() function in the 'robustvarComp' package. Three methods are available: the classical Wald method, the wild bootstrap, and the parametric bootstrap. Bootstrap methods offer flexibility in obtaining lower and upper bounds through percentile or BCa methods. More details are given in \n Mason, F., Cantoni, E., & Ghisletta, P. (2021) doi:10.5964/meth.6607 and \n Mason, F., Cantoni, E., & Ghisletta, P. (2024) doi:10.1037/met0000643.

Citation confintROB citation info

Key Metrics

Version 1.0
R ≥ 3.5.0
Published 2024-04-02 37 days ago
Needs compilation? no
License GPL-2
CRAN checks confintROB results

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Maintainer

Maintainer

Fabio Mason

fabio.mason@unige.ch

Authors

Fabio Mason

aut / cre

Manuel Koller

aut

Eva Cantoni

ctb / ths

Paolo Ghisletta

ths

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.5.0

Imports

foreach
lme4
MASS
mvtnorm
tidyr
methods

Suggests

robustlmm ≥ 3.1-1
robustvarComp ≥ 0.1-7
lmerTest ≥3.1-3
xtable
ggplot2
parallel
doParallel