Browse Items (14 total)

modelsummary is a package to summarize data and statistical models in R. It supports
over one hundred types of models out-of-the-box, and allows users to report the results
of those models side-by-side in a table, or in coefficient plots. It makes…

The popularity of Bayesian statistical methods has increased dramatically in recent
years across many research areas and industrial applications. This is the result of a variety
of methodological advances with faster and cheaper hardware as well as…

High frequency data typically exhibit asynchronous trading and microstructure noise,
which can bias the covariances estimated by standard estimators. While a number of
specialized estimators have been proposed, they have had limited availability in…

Reproducible document standards, like R Markdown, facilitate the programmatic creation of documents whose content is itself programmatically generated. While programmatic content alone may not be sufficient for a rendered document since it does…

Effective processing of character strings is required at various stages of data analysis
pipelines: from data cleansing and preparation, through information extraction, to report
generation. Pattern searching, string collation and sorting,…

The last decade has witnessed the emergence of massive mobility datasets, such as
tracks generated by GPS devices, call detail records, and geo-tagged posts from social
media platforms. These datasets have fostered a vast scientific production on…

This paper introduces the R package exuber for testing and date-stamping periods of
mildly explosive dynamics (exuberance) in time series. The package computes test statistics for the supremum augmented Dickey-Fuller test (SADF) of Phillips, Wu, and…

This article presents a new implementation of hierarchical clustering for the R language
that allows one to apply spatial or temporal contiguity constraints during the clustering
process. The need for contiguity constraint arises, for instance,…

UComp is a powerful library for building unobserved components models, useful for
forecasting and other important operations, such us de-trending, cycle analysis, seasonal
adjustment, signal extraction, etc. One of the most outstanding features…

Actuaries model insurance claim amounts using heavy tailed probability distributions.
They routinely need to evaluate quantities related to these distributions such as quantiles
in the far right tail, moments or limited moments. Furthermore,…