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) doi:10.5964/meth.6607 and Mason, F., Cantoni, E., & Ghisletta, P. (2024) doi:10.1037/met0000643.
- Version1.0-1
- R versionunknown
- 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
This package has been downloaded 573 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 5,754 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 55 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports5 packages
- Suggests6 packages