Browse Items (8208 total)

The rapid development of modern technology has created many complex datasets
in non-linear spaces, while most of the statistical hypothesis tests are only available in
Euclidean or Hilbert spaces. To properly analyze the data with more complicated…

Structural vector autoregressive (SVAR) models are frequently applied to trace the
contemporaneous linkages among (macroeconomic) variables back to an interplay of orthogonal structural shocks. Under Gaussianity the structural parameters are…

Forest inventories provide reliable evidence-based information to assess the state and
development of forests over time. They typically consist of a random sample of plot locations in the forest that are assessed individually by field crews. Due to…

The simsurv R package allows users to simulate survival (i.e., time-to-event) data from
standard parametric distributions (exponential, Weibull, and Gompertz), two-component
mixture distributions, or a user-defined hazard function. Baseline…

The R package microsynth has been developed for implementation of the synthetic
control methodology for comparative case studies involving micro- or meso-level data.
The methodology implemented within microsynth is designed to assess the efficacy…

In this article, we introduce the BART R package which is an acronym for Bayesian additive regression trees. BART is a Bayesian nonparametric, machine learning, ensemble
predictive modeling method for continuous, binary, categorical and…

The R package vsgoftest performs goodness-of-fit (GOF) tests, based on Shannon
entropy and Kullback-Leibler divergence, developed by Vasicek (1976) and Song (2002),
of various classical families of distributions. The so-called Vasicek-Song (VS)…

This paper introduces the R package ordinalCont, which implements an ordinal regression framework for response variables which are recorded on a visual analogue scale
(VAS). This scale is used when recording subjects’ perception of an intangible…

Traditional tools and software for social network analysis are seldom scalable and/or
fast. This paper provides an overview of an R package called fastnet, a tool for scaling
and speeding up the simulation and analysis of large-scale social…

Wilcoxon rank-based tests are distribution-free alternatives to the popular two-sample
and paired t tests. For independent data, they are available in several R packages such
as stats and coin. For clustered data, in spite of the recent…