Browse Items (9465 total)

The R package AssocTests provides some procedures which are commonly used in
genetic association studies. These procedures are population stratification correction
through eigenvectors, principal coordinates of clusterings, Tracy-Widom test,…

We introduce a new R package, BeSS, for solving the best subset selection problem
in linear, logistic and Cox’s proportional hazard (CoxPH) models. It utilizes a highly
efficient active set algorithm based on primal and dual variables, and supports…

The BayesNetBP package has been developed for probabilistic reasoning and visualization in Bayesian networks with nodes that are purely discrete, continuous or mixed
(discrete and continuous). Probabilistic reasoning enables a user to absorb…

Fractional factorial experiments often produce ambiguous results due to confounding
among the factors; as a consequence more than one model is consistent with the data.
Thus, the practical problem is how to choose additional runs in order to…

Although a very rich list of classes of space-time covariance functions exists, specific
tools for selecting the appropriate class for a given data set are needed. Thus, the main
topic of this paper is to present the new R package, covatest, which…

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)…