confintROB
Confidence Intervals for Robust and Classical Linear Mixed Model Estimators
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 Mason, F., Cantoni, E., & Ghisletta, P. (2021)
- Version1.0-1
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?No
- confintROB citation info
- Last release06/06/2024
Documentation
Team
Fabio Mason
Manuel Koller
Show author detailsRolesAuthorEva Cantoni
Show author detailsRolesContributor, Thesis advisorPaolo Ghisletta
Show author detailsRolesThesis advisor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports6 packages
- Suggests7 packages