Provides functions for the identification, classification, and
    ranking of influential nodes and candidate features from network and omics
    data. The package implements the Integrated Value of Influence (IVI) for
    integrative network centrality analysis, the SIR-based Influence Ranking
    (SIRIR) model for unsupervised influence ranking, and the Experimental
    data-based Integrative Ranking (ExIR) model for prioritizing candidate
    driver, biomarker, and mediator features from experimental omics data.
    Functions are provided for network reconstruction from adjacency matrices
    and data frames, topological analysis, centrality calculation, assessment
    of associations between centrality measures, and conditional probability
    analysis. ExIR supports bulk and single-cell omics data, including matrices,
    sparse matrices, data frames, tibbles, and Seurat objects.

An R interface to the InfluxDB time series database <https://www.influxdata.com>. This package allows you to fetch and write time series data from/to an InfluxDB server. Additionally, handy wrappers for the Influx Query Language (IQL) to manage and explore a remote database are provided.

Methods for quantifying temporal and spatial causality through information flow, and decomposing it into unique, redundant, and synergistic components, following the framework described in Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>.

Download official election results for Spain at polling station,
    municipality and province level, format them and import them to the R
    environment. Data are provided by the Spanish Ministry of the Interior
    (<https://infoelectoral.interior.gob.es/es/inicio/>).

Performs exploratory data analysis and variable screening for
    binary classification models using weight-of-evidence (WOE) and information
    value (IV). In order to make the package as efficient as possible, aggregations
    are done in data.table and creation of WOE vectors can be distributed across
    multiple cores. The package also supports exploration for uplift models (NWOE
    and NIV).