Browse Items (15 total)

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…

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…

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…

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…

gdpc is an R package for the computation of the generalized dynamic principal components proposed in Peña and Yohai (2016). In this paper, we briefly introduce the problem
of dynamical principal components, propose a solution based on a…

The rscala software is a simple, two-way bridge between R and Scala that allows users
to leverage the unique strengths of both languages in a single project. Scala classes can
be instantiated from R and Scala methods can be called. Arbitrary Scala…

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…

It has been fourteen years since the first edition of R Graphics was published (Murrell 2006)
and eight since the second one was released (Murrell 2012). For readers, like me, who read
the first edition of R Graphics but skipped the second one,…