Browse Items (15 total)

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…

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…

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…

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…

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…

The Oja median is one of several extensions of the univariate median to the multivariate case. It has many desirable properties, but is computationally demanding. In this
paper, we first review the properties of the Oja median and compare it to…

With the rising popularity of web surveys and the increasing use of paradata by survey
methodologists, assessing information stored in user agent strings becomes inevitable.
These data contain meaningful information about the browser, operating…

multiplex is a computer program that provides algebraic tools for the analysis of
multiple network structures within the R environment. Apart from the possibility to create
and manipulate multivariate data representing multiplex, signed, and…

BPEC is an R package for Bayesian phylogeographic and ecological clustering which
allows geographical, environmental and phenotypic measurements to be combined with
deoxyribonucleic acid (DNA) sequences in order to reveal geographic structuring of…

Spatial survival analysis has received a great deal of attention over the last 20 years
due to the important role that geographical information can play in predicting survival.
This paper provides an introduction to a set of programs for…