Browse Items (11 total)

Time series data, i.e., temporally ordered data, is routinely collected and analysed
in in many fields of natural science, economy, technology and medicine, where it is of
importance to verify the assumption of stochastic stationarity prior to…

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…

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…

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…

In several applied fields, multimodality assessment is a crucial task as a previous
exploratory tool or for determining the suitability of certain distributions. The goal of
this paper is to present the utilities of the R package multimode, which…

Checking data quality against domain knowledge is a common activity that pervades
statistical analysis from raw data to output. The R package validate facilitates this
task by capturing and applying expert knowledge in the form of validation rules:…

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 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…

Calling multi-threaded C++ code from R has its perils. Since the R interpreter is
single-threaded, one must not check for user interruptions or print to the R console from
multiple threads. One can, however, synchronize with R from the main thread.…