• Econometric Computing with #x201C;R#x201D;.- Additive Models for Quantile Regression: An Analysis of Risk Factors for Malnutrition in India.- Toward Better R Defaults for Graphics: Example of Voter Turnouts in U.S. Elections.- Superior Estimation and Inference Avoiding Heteroscedasticity and Flawed Pivots: R-example of Inflation Unemployment Trade-off.- Bubble Plots as a Model-Free Graphical Tool for Continuous Variables.- Combinatorial Fusion for Improving Portfolio Performance.- Reference Growth Charts for Saudi Arabian Children and Adolescents.- Causal Mediation Analysis Using R.- Statistical Validation of Functional Form in Multiple Regression Using R.- Fitting Multinomial Models in R: A Program Based on Bock#x2019;s Multinomial Response Relation Model.- A Bayesian Analysis of Leukemia Incidence Surrounding an Inactive Hazardous Waste Site.- Stochastic Volatility Model with Jumps in Returns and Volatility: An R-Package Implementation.

"In the introduction of Advances in social Science Research Using R, the editor gives valuable short summaries of all chapters to point out that each one is of relevance beyond the scope of the disciplines where the methods or authors originate...Several chapters are well suited for social scientists interested in new methodology and how to use it in R. These chapters not only introduce advanced statistical techniques, but also walk the reader through their usage in R in a concise and yet instructive way...Other chapters show that ...complex econometric research questions can be addressed with R...and illustrate the variety of advanced methods now available ..." (Journal of Statistical Software, Vol. 34, Book Review 2, April 2010)