R is now the most widely used statistical package/language in university statistics departments and many research organisations. Its great advantages are that for many years it has been the leading-edge statistical package/language and that it can be freely downloaded from the R web site. Its cooperative development and open code also attracts many contributors meaning that the modelling and data analysis possibilities in R are much richer than in GLIM4, and so
the R edition can be substantially more comprehensive than the GLIM4 edition ofStatistical Modelling. This text provides a comprehensive treatment of the theory of statistical modelling in R with an
emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, making this book ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines.