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It installs Python or R modules needed by a begin program block or an extension command whose install did not install them. This will make this process easier than the current means and reduce the difficulty of installing packages that need items from PyPI or CRAN. It is not uncommon for CRAN packages not to list all their dependencies.

Descriptive Statistics for a Population.

Modify the appearance of pivot tables.

Fits kernel ridge regression models using the Python sklearn.kernel_ridge.KernelRidge class to estimate a kernel ridge regression of a dependent variable on one or more independent variables with specified model hyperparameters, or selection of hyperparameter values over a specified grid of values via crossvalidation by also using the sklearn.mo…

Build a dataset of variable information from multiple datasets.

Naive Bayes classification with optional predictor selection Description: This extension provides a user interface for the NAIVEBAY ES command. It fits the Naive Bayes classification model for a catego rical dependent variable. You can specify whether all available predi ctors are used or whether the procedure selects the best predictors. The ex…

This procedure, also known in the literature as decile analysis, produces a table and charts that group the predicted probabilities from a classification procedure such as logistic regression, trees, and SVM into ntiles in order to better understand their distribution and to assist in using these for formulating decision rules.

Fits linear elastic net regression models using Python sklearn classes.