Browse Items (14 total)

Cognitive diagnosis models (CDMs) have attracted increasing attention in educational
measurement because of their potential to provide diagnostic feedback about students’
strengths and weaknesses. This article introduces the feature-rich R package…

A wide range of chemical information is freely available online, including identifiers,
experimental and predicted chemical properties. However, these data are scattered over
various data sources and not easily accessible to researchers. Manual…

In randomized controlled trials of seriously ill patients, death is common and often
defined as the primary endpoint. Increasingly, non-mortality outcomes such as functional
outcomes are co-primary or secondary endpoints. Functional outcomes are…

The aim of the R package netCoin is to explore data structures using a number of
statistical techniques that share the handling of interdependent variables. The main objective of this analysis is to detect events, characters, objects, attributes or…

To extend the current implementation of copulas in MATLAB to non-elliptical distributions in arbitrary dimensions enabling for asymmetries in the tails, the toolbox HACopula
provides functionality for modeling with hierarchical (or nested)…

Algebraic methods have a long history in statistics. Apart from the ubiquitous applications of linear algebra, the most visible manifestations of modern algebra in statistics
are found in the young field of algebraic statistics, which brings tools…

We present the R package mgm for the estimation of k-order mixed graphical models (MGMs) and mixed vector autoregressive (mVAR) models in high-dimensional data.
These are a useful extensions of graphical models for only one variable type, since…

Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the
associations among a large set of variables. This paper describes an R package called lslx
that implements PL methods for semi-confirmatory structural equation…

The random-effects or normal-normal hierarchical model is commonly utilized in a
wide range of meta-analysis applications. A Bayesian approach to inference is very attractive in this context, especially when a meta-analysis is based only on few…

This paper introduces the funData R package as an object-oriented implementation of
functional data. It implements a unified framework for dense univariate and multivariate
functional data on one- and higher dimensional domains as well as for…