Provides helpers to add 'Git' links to 'shiny'
    applications, 'rmarkdown' documents, and other 'HTML' based resources.
    This is most commonly used for 'GitHub' ribbons.

A light-weight, dependency-free, application programming interface
    (API) to access system-level 'Git' <https://git-scm.com/downloads> commands
    from within 'R'. Contains wrappers and defaults for common data science
    workflows as well as 'Zsh' <https://github.com/ohmyzsh/ohmyzsh> plugin aliases.
    A generalized API syntax is also available.

Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. 
    Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 
    'Git' platforms by providing a unified way to access repository data.

In computationally demanding data analysis pipelines,
  the 'targets' R package (2021, <doi:10.21105/joss.02959>) maintains
  an up-to-date set of results while skipping tasks that do not need to rerun.
  This process increases speed and increases trust in the final end product.
  However, it also overwrites old output with new output, and past
  results disappear by default. To preserve historical output, the 'gittargets'
  package captures version-controlled snapshots of the data store,
  and each snapshot links to the underlying commit of the source code.
  That way, when the user rolls back the code to a previous branch or commit,
  'gittargets' can recover the data contemporaneous with that commit so that
  all targets remain up to date.

Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva, Italian Group for the Evaluation of the Interventions in Intensive Care Units - see <http://www.giviti.marionegri.it/>) approach. The approach consists in a graphical tool, namely the GiViTI calibration belt, and in the associated statistical test. These tools can be used both to evaluate the internal calibration (i.e. the goodness of fit) and to assess the validity of an externally developed model.