9. Plot manageable subsets of data- Plotting a large data set is difficult if it does not fit into memory as a data frame, so we introduce more efficient data structures and alternative plot functions that work with large data.
10. Tools for Uplift Modeling- The R Package tools4uplift integrates some tools for exploring and modeling uplift. The content can be separated into the following steps of statistical modeling: categorization, visualization, feature engineering, feature selection and model validation.
12. Generalized ridge trace plots- The genridge package introduces generalizations of the standard univariate ridge trace plot used in ridge regression and related methods. These graphical methods show both bias and precision.
13. geneNetBP- The geneNetBP package implements methods to predict, quantify and visualize system-wide changes in beliefs after absorbing evidence in genotype-phenotype networks inferred from eQTL data.