A simulation-based tool made to help researchers to become familiar with multilevel variations, and to build up sampling designs for their study. This tool has two main objectives: First, it provides an educational tool useful for students, teachers and researchers who want to learn to use mixed-effects models. Users can experience how the mixed-effects model framework can be used to understand distinct biological phenomena by interactively exploring simulated multilevel data. Second, it offers research opportunities to those who are already familiar with mixed-effects models, as it enables the generation of data sets that users may download and use for a range of simulation-based statistical analyses such as power and sensitivity analysis of multilevel and multivariate data [Allegue, H., Araya-Ajoy, Y.G., Dingemanse, N.J., Dochtermann N.A., Garamszegi, L.Z., Nakagawa, S., Reale, D., Schielzeth, H. and Westneat, D.F. (2016) <doi: 10.1111/2041-210X.12659>].
|Author||Hassen Allegue [aut, cre], Yimen G. Araya-Ajoy [aut], Niels J. Dingemanse [aut], Ned A. Dochtermann [aut], Laszlo Z. Garamszegi [aut], Shinichi Nakagawa [aut], Denis Reale [aut], Holger Schielzeth [aut], David F. Westneat [aut]|
|Maintainer||Hassen Allegue <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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