Typically, models in 'R' exist in memory and can be saved via
    regular 'R' serialization. However, some models store information in
    locations that cannot be saved using 'R' serialization alone. The goal
    of 'bundle' is to provide a common interface to capture this
    information, situate it within a portable object, and restore it for
    use in new settings.

Provides an efficient and robust implementation for estimating marginal Hazard Ratio (HR) and 
  Restricted Mean Survival Time (RMST) with covariate adjustment using Daniel et al. (2021) <doi:10.1002/bimj.201900297> and 
  Karrison et al. (2018) <doi:10.1177/1740774518759281>.

Provides tools to deploy R web server applications that
    follow the '_server.yml' standard. This standard allows different R
    server frameworks ('plumber2', 'fiery', etc.) to be deployed using a
    common interface.  The package supports deployment to 'DigitalOcean'
    and includes validation tools to ensure '_server.yml' files are
    correctly formatted.

Comprehensive Business Process Analysis toolkit. Creates S3-class for event log objects, and related handler functions. Imports related packages for filtering event data, computation of descriptive statistics, handling of 'Petri Net' objects and visualization of process maps. See also packages 'edeaR','processmapR', 'eventdataR' and 'processmonitR'.

The 'bupaverse' is an open-source, integrated suite of R-packages for handling and analysing business process data,
    developed by the Business Informatics research group at Hasselt University, Belgium. Profoundly inspired by the 'tidyverse' package,
    the 'bupaverse' package is designed to facilitate the installation and loading of multiple 'bupaverse' packages in a single step.
    Learn more about 'bupaverse' at the <https://bupar.net> homepage.

Provides a way to reduce model objects to necessary parts, making them easier to work with, store, share and simulate multiple values for new responses while allowing for parameter uncertainty.