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.
|Depends:||R (≥ 3.3.0)|
|Imports:||stats, shiny (≥ 0.13.0), ggplot2 (≥ 2.0.0), grid (≥ 3.2.3), MASS (≥ 7.3-45), lme4 (≥ 1.1-10), arm (≥ 1.8-6), data.table (≥ 1.9.6)|
|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 <hassen.allegue at gmail.com>|
|License:||MIT + file LICENSE|
|CRAN checks:||squid results|
|Windows binaries:||r-devel: squid_0.1.1.zip, r-release: squid_0.1.1.zip, r-oldrel: not available|
|OS X Mavericks binaries:||r-release: squid_0.1.1.tgz, r-oldrel: not available|
|Old sources:||squid archive|
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