Browse Items (15 total)

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…

Multiobjective evolutionary algorithms based on decomposition (MOEA/D) represent
a widely used class of population-based metaheuristics for the solution of multicriteria
optimization problems. We introduce the MOEADr package, which offers many of…

M-estimation, or estimating equation, methods are widely applicable for point estimation and asymptotic inference. In this paper, we present an R package that can find
roots and compute the empirical sandwich variance estimator for any set of…

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…

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…

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,…

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…

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…

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…