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confintROB  

Confidence Intervals for Robust and Classical Linear Mixed Model Estimators
View on CRAN: Click here


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]
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 09 May. 2025.
Previous versions and publish date:
1.0 (2024-04-02 15:42)
Other packages that cited confintROB R package
View confintROB citation profile
Other R packages that confintROB depends, imports, suggests or enhances
Complete documentation for confintROB
Functions, R codes and Examples using the confintROB R package
Full confintROB package functions and examples
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