Data in multidimensional systems is obtained from operational
    systems and is transformed to adapt it to the new structure.
    Frequently, the operations to be performed aim to transform a flat
    table into a ROLAP (Relational On-Line Analytical Processing) star
    database. The main objective of the package is to allow the definition
    of these transformations easily. The implementation of the
    multidimensional database obtained can be exported to work with
    multidimensional analysis tools on spreadsheets or relational
    databases.

Fast and efficient computation of rolling and expanding statistics for time-series data.

Wraps the 'Ollama' <https://ollama.com> API, which can be used to 
    communicate with generative large language models locally.

Reports errors and messages to Rollbar, the error tracking platform <https://rollbar.com>.

R Markdown output formats based on JavaScript libraries such as
    'Scrollama' (<https://github.com/russellgoldenberg/scrollama>) for storytelling.

A rolling version of the Latent Dirichlet Allocation, see Rieger et al. (2021) <doi:10.18653/v1/2021.findings-emnlp.201>. By a sequential approach, it enables the construction of LDA-based time series of topics that are consistent with previous states of LDA models. After an initial modeling, updates can be computed efficiently, allowing for real-time monitoring and detection of events or structural breaks.

Functions to perform propensity score matching on rolling entry interventions for which a suitable "entry" date is not observed for nonparticipants. For more details, please reference Witman et al. (2018) <doi:10.1111/1475-6773.13086>.

A Tidy implementation of 'grouping sets', 'rollup' and 'cube' - extensions of the 'group_by' clause that allow for computing multiple 'group_by' clauses in a single statement. For more detailed information on these functions, please refer to "Enhanced Aggregation, Cube, Grouping and Rollup" <https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C+Grouping+and+Rollup>.