There are several packages here for operating on tensor, and table data, for computing standard statistics and performing related computations, such as normalizing the data.

• stats computes standard summary statistics (mean, standard deviation, etc).

• metric computes similarity / distance metrics for comparing two tensors, and associated distance / similarity matrix functions.

• cluster implements agglomerative clustering of items based on metric distance / similarity matrix data.

• convolve convolves data (e.g., for smoothing).

• glm fits a general linear model for one or more dependent variables as a function of one or more independent variables. This encompasses all forms of regression.

• histogram bins data into groups and reports the frequency of elements in the bins.