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This package fits generalized linear models with L1 (lasso) and/or L2 (ridge) penalties. It includes functions for likelihood cross-validation and optimization of the tuning parameters.

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Scatterplots of microarray data generally contain a very large number of dots, making it difficult to get a good impression of their distribution in dense areas. We present a fast and simple algorithm for two-dimensional histogram smoothing, to visually enhance scatterplots.

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In recent years there has been a shift in focus from studying the effects of single genes to studying effects of multiple functionally related genes. Most of the current methods for studying pathways involve looking at increased proportions of differentially expressed genes in pathways of interest. These methods do not identify pathways where many genes have altered their expression in a small way. The globaltest was designed to address this issue.