All final tables of Germany's highest football (soccer!) league, the Bundesliga. Contains data from 1964 to 2016.

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'.

Creates interactive 3D Burak Diagrams for evaluating
    climatological and hydrological simulations. The BD-Clim framework
    evaluates climatological simulations by representing correlation,
    standard deviation, centered root mean-square difference, bias, and
    root mean-square difference. The BD-HydNSE framework evaluates
    hydrological simulations using correlation, standard deviation,
    centered root mean-square difference, percent bias, and
    Nash-Sutcliffe efficiency. The BD-HydKGE framework evaluates
    hydrological simulations using correlation, standard deviation,
    centered root mean-square difference, percent bias, and Kling-Gupta
    efficiency. The frameworks extend the Taylor Diagram (
    Taylor (2001) <doi:10.1029/2000JD900719> ) by introducing an orthogonal
    axis for bias and representing selected performance metrics as
    surfaces in the resulting 3D space. Nash-Sutcliffe efficiency was
    introduced by Nash and Sutcliffe (1970)
    <doi:10.1016/0022-1694(70)90255-6>, and Kling-Gupta efficiency was
    proposed by Gupta et al. (2009)
    <doi:10.1016/j.jhydrol.2009.08.003>. The diagrams are interactive and
    can optionally be saved as HTML files.