Data Analysis Using Hierarchical Generalized Linear Models with R by Youngjo Lee, Lars Ronnegard and Maengseok Noh (2017, Hardcover)
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Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed.