squidSim

squidSim simulates data from generalised linear mixed models (GLMMs) to help empiricists understand model assumptions, limitations, and output for ecological and evolutionary studies with complex hierarchical structures.

Key Features:

• Flexible GLMM simulation framework: Simulates from Gaussian and non-Gaussian models, multi-response models, and models with spatial, temporal, genetic and phylogenetic effects.
• Reproducible workflow: Provides fully reproducible simulations for structured data generation.
• Teaching utility: Supports advancement of statistical modelling education through accessible simulation capabilities.

Scientific Applications:

• Model assumption exploration: Enables empiricists to understand assumptions, limitations, and output of generalised linear mixed models (GLMMs).
• Study design optimisation: Supports design of more informed ecological and evolutionary studies around GLMM usage.
• Hierarchical data simulation: Accommodates common complex data structures in ecology and evolutionary biology.

Methodology:

squidSim implements simulation from linear mixed-effect models within a generalised linear mixed model (GLMM) framework using R.