ARAchnid KNowledge Online

Allows the user to connect with the World Spider Catalogue (WSC; < https://wsc.nmbe.ch/>) and the World Spider Trait (WST; < https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; < https://www.gbif.org/>), and mapping.

An Interface to IMF (International Monetary Fund) Data

Provides low-level access to the International Monetary Fund Statistical Data and Metadata eXchange ('SDMX') 3.0 API, available at < https://data.imf.org/>, and a concise workflow for discovering datasets, inspecting dimensions, and downloading observations as tidy data frames.

Create and Emit 'OpenLineage' Events

Construct and validate run events that follow the 'OpenLineage' specification < https://openlineage.io/>. Model run lifecycles, datasets, and extensible facets with protocol-aware 'R' objects. Serialize events into deterministic JavaScript Object Notation (JSON) while preserving wire field names. Deliver events synchronously over Hypertext Transfer Protocol (HTTP) with authentication and retries, or use offline transports for local development and testing.

Query 'Azure Data Lake Storage Gen2' with 'DuckDB'

Provides convenience utilities for using 'DuckDB' directly over datasets stored in 'Azure Data Lake Storage Gen2' (ADLS Gen2, 'abfss://'). Opens connections configured for Azure-backed 'Delta Lake' and 'Parquet' data, registers Azure credentials as 'DuckDB' secrets, and supports optional repository mirrors for restricted networks. Integrates well with 'DBI' for SQL workflows and with 'dplyr' and 'dbplyr' for lazy table queries.

Extended Joint Models for Longitudinal and Time-to-Event Data

Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).

Calculate the NLTT Statistic

Provides functions to calculate the normalised Lineage-Through- Time (nLTT) statistic, given two phylogenetic trees. The nLTT statistic measures the difference between two Lineage-Through-Time curves, where each curve is normalised both in time and in number of lineages.

Objective Bayesian Distribution Fitting

Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors, and supports user-defined distributions and priors through an extensible model specification. Model-specific posterior propriety and moment conditions are checked before computation when registered or supplied. Exact simulation, marginalization, slice sampling, adaptive Metropolis, and user-supplied posterior samplers share a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. The reference-prior framework follows Bernardo (1979) .

Probabilistic Support Vector Machines

Implements kernel-based classification Support Vector Machines with reliable estimated probabilities of class membership. Theoretical support for the functions in this package can be found in Duarte Silva (2025) .

Research Assessment Tools

Includes algorithms to assess research productivity and patterns, such as the h-index and i-index. Cardoso et al. (2022) Cardoso, P., Fukushima, C.S. & Mammola, S. (2022) Quantifying the internationalization and representativeness in research. Trends in Ecology and Evolution, 37: 725-728.

Test and Detection of Explosive Behaviors for Time Series

Provides the Augmented Dickey-Fuller test and its variations to check the existence of bubbles (explosive behavior) for time series, based on the article by Peter C. B. Phillips, Shuping Shi and Jun Yu (2015a) . Some functions may take a while depending on the size of the data used, or the number of Monte Carlo replications applied.