Browse Items (14 total)

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 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…

This paper is devoted to the R package JSM which performs joint statistical modeling
of survival and longitudinal data. In biomedical studies it has been increasingly common to collect both baseline and longitudinal covariates along with a possibly…

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…

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)…

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…

An R package for computing the all-subsets regression problem is presented. The
proposed algorithms are based on computational strategies recently developed. A novel
algorithm for the best-subset regression problem selects subset models based on a…

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…