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Book release - Modeling Psychophysical Data in R

We would like to announce the imminent publication of the book


"Modeling Psychophysical Data in R" (2012) Kenneth Knoblauch & Laurence T. Maloney, Springer

ISBN: 978-1-4614-4474-9.


Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, psychometric function fitting, classification images and more. In two chapters, recently developed methods for scaling appearance -- maximum likelihood difference scaling and maximum likelihood conjoint measurement -- are examined. The authors also consider the application of mixed-effects models to psychophysical data.

R is an open-source  programming language that is widely used by statisticians and is seeing enormous growth in its application to data in all fields. It is interactive, containing many powerful facilities for optimization, model evaluation, model selection, and graphical display of data. The reader who fits data in R can readily make use of these methods. The researcher who uses R to fit and model his data has access to most recently developed statistical methods. This book does not assume that the reader is familiar with R, and a little experience with any programming language is all that is needed to appreciate this book. There are large numbers of examples of R in the text and the source code for all examples is available in an R package MPDiR available through R.


An electronic version is already available if purchased at




where sample pages can also be viewed (see also, http://mpdir.r-forge.r-project.org/). It can currently be ordered from Amazon and other online book sellers at a slight discount




Ken Knoblauch & Larry Maloney


Kenneth Knoblauch

Inserm U846

Stem-cell and Brain Research Institute

Department of Integrative Neurosciences

18 avenue du Doyen Lepine

69500 Bron