Browse Items (17 total)

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…

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…

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…

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 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,…

Disease spreading simulations are traditionally performed using coupled differential
equations. However, in the setting of metapopulations, most of the solutions provided by
this method do not account for the dynamic topography of subpopulations.…

Subset identification methods are used to select the subset of a covariate space over
which the conditional distribution of a response has certain properties – for example,
identifying types of patients whose conditional treatment effect is…

We present the R package BASS as a tool for nonparametric regression. The primary
focus of the package is fitting fully Bayesian adaptive spline surface (BASS) models and
performing global sensitivity analyses of these models. The BASS framework is…

A large number of statistical decision problems in the social sciences and beyond can
be framed as a (contextual) multi-armed bandit problem. However, it is notoriously hard
to develop and evaluate policies that tackle these types of problems, and…

The R add-on package FDboost is a flexible toolbox for the estimation of functional
regression models by model-based boosting. It provides the possibility to fit regression
models for scalar and functional response with effects of scalar as well as…