#Wildflowers
Filed under: Generalized Linear Mixed Models, Non-Gaussian Random Effects
This example is part of the NCEAS non-linear modelling project
####Authors: Elizabeth Crone, Mollie Brooks, and Perry de Valpine
These data are from E. Crone and colleagues' long-term study of stages, flowering, and seed pod production of Astragulus scaphoides. The model looks at individual flowering as a function of the previous year's stage and seed production.
This is a binomial generalized linear mixed model for flowering probability with three random effects: intercept and effect of size across individuals and intercept variation across years.