Browse Items (15 total)

Prediction rule ensembles (PREs) are sparse collections of rules, offering highly interpretable regression and classification models. This paper shows how they can be fitted
using function pre from R package pre, which derives PREs largely through…

Statistical procedures such as Bayes factor model selection and Bayesian model averaging require the computation of normalizing constants (e.g., marginal likelihoods). These
normalizing constants are notoriously difficult to obtain, as they usually…

Many real-world systems are profitably described as complex networks that grow over
time. Preferential attachment and node fitness are two simple growth mechanisms that
not only explain certain structural properties commonly observed in real-world…

The mlt package implements maximum likelihood estimation in the class of conditional transformation models. Based on a suitable explicit parameterization of the unconditional or conditional transformation function using infrastructure from package…

We discuss the R package SQUAREM for accelerating iterative algorithms which exhibit slow, monotone convergence. These include the well-known expectation-maximization
algorithm, majorize-minimize (MM), and other EM-like algorithms such as…