pPraise for the iFirst EditionippThis book will serve to greatly complement the growingnumber of texts dealing with mixed models, and I highly recommendincluding it in one's personal library.pp--iJournal of the American StatisticalAssociationipp pp Mixed modeling is a crucial area of statistics, enablingthe analysis of clustered and longitudinal data. iMixed Models Theory and Applications with R, Second Editioni fills a gap inexisting literature between mathematical and applied statisticalbooks by presenting a powerful examination of mixed model theoryand application with special attention given to the implementationin R.ppThe new edition provides in-depth mathematical coverage of mixedmodels' statistical properties and numerical algorithms, aswell as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics instatistics including modeling of complex clustered or longitudinaldata, modeling data with multiple sources of variation, mode