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.

Documentation

Manual: squid.pdf
Vignette: None available.

Maintainer: Hassen Allegue <hassen.allegue at gmail.com>

Author(s): Hassen Allegue*, Yimen G. Araya-Ajoy*, Niels J. Dingemanse*, Ned A. Dochtermann*, Laszlo Z. Garamszegi*, Shinichi Nakagawa*, Denis Reale*, Holger Schielzeth*, David F. Westneat*

Install package and any missing dependencies by running this line in your R console:

install.packages("squid")

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)
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Package squid
Materials
URL https://github.com/hallegue/squid
Task Views
Version 0.1.1
Published 2016-06-20
License MIT + file LICENSE
BugReports https://github.com/hallegue/squid/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks squid check results
Package source squid_0.1.1.tar.gz