Browse Items (11 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…

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:…

FamEvent is a comprehensive R package for simulating and modeling age-at-disease
onset in families carrying a rare gene mutation. The package can simulate complex family
data for variable time-to-event outcomes under three common family study…

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…

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…

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…

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…

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.…

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…

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…