Learning and inference over dynamic Bayesian networks of arbitrary 
    Markovian order. Extends some of the functionality offered by the 'bnlearn' 
    package to learn the networks from data and perform exact inference. 
    It offers three structure learning algorithms for dynamic Bayesian networks:
    Trabelsi G. (2013) <doi:10.1007/978-3-642-41398-8_34>, Santos F.P. and Maciel C.D. (2014)
    <doi:10.1109/BRC.2014.6880957>, Quesada D., Bielza C. and Larrañaga P. (2021)
    <doi:10.1007/978-3-030-86271-8_14>. It also offers the possibility to perform 
    forecasts of arbitrary length. A tool for visualizing the structure of the 
    net is also provided via the 'visNetwork' package. Further detailed information 
    and examples can be found in our Journal of Statistical Software paper 
    Quesada D., Larrañaga P. and Bielza C. (2025) <doi:10.18637/jss.v115.i06>.

This tool is for parsing public drug databases such as 'DrugBank' XML database <https://go.drugbank.com/>.
    The parsed data are then returned in a proper 'R' object called 'dvobject'.

Leverages 'dplyr' to process the calculations of a plot inside a database. 
    This package provides helper functions that abstract the work at three levels:
    outputs a 'ggplot', outputs the calculations, outputs the formula
    needed to calculate bins.

A 'dplyr' back end for databases that allows you to work with
    remote database tables as if they are in-memory data frames.  Basic
    features work with any database that has a 'DBI' back end; more
    advanced features require 'SQL' translation to be provided by the
    package author.

Provides an R6-based project container for managing 'DuckDB'
    connections, reconnecting lazy database tables after session restarts, and
    storing metadata for database-backed objects used by packages in the
    'dbverse'. The package supplies S4 base classes and generics for
    database-backed data, helpers for validating 'DuckDB' connections and table
    names, utilities for creating persistent database views, and methods for
    writing and restoring pinned lazy tables through the 'pins' package. These
    tools help package authors and analysts keep database paths, cached
    connections, and table references synchronized across interactive sessions
    and project directories.