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confintROB
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Download and install confintROB package within the R console
Install from CRAN:
install.packages("confintROB")
Install from Github:
library("remotes")
install_github("cran/confintROB")
Install by package version:
library("remotes")
install_version("confintROB", "1.0-1")
Attach the package and use:
library("confintROB")
Maintained by
Fabio Mason
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.confintROB . confintROB citation info . confintROB results . confintROB.pdf . confintROB_1.0-1.tar.gz . confintROB_1.0-1.zip . confintROB_1.0-1.zip . confintROB_1.0-1.zip . confintROB_1.0-1.tgz . confintROB_1.0-1.tgz . confintROB_1.0-1.tgz . confintROB_1.0-1.tgz . confintROB_1.0-1.tgz . confintROB_1.0-1.tgz . confintROB archive . https://CRAN.R-project.org/package=confintROB .
First Published: 2024-04-02
Latest Update: 2024-04-02
Description:
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) and \n Mason, F., Cantoni, E., & Ghisletta, P. (2024) .
How to cite:
Fabio Mason (2024). confintROB: Confidence Intervals for Robust and Classical Linear Mixed Model Estimators. R package version 1.0-1, https://cran.r-project.org/web/packages/confintROB. Accessed 20 Feb. 2025.
Previous versions and publish date:
1.0 (2024-04-02 15:42)
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