A minimal R-package to approximately detect global and imported functions or variables from R-source code or R-packages by static code analysis.

Deal with packages 'check' outputs and reduce the risk of
    rejection by 'CRAN' by following policies.

Confirms if the number is Luhn compliant.
    Can check if credit card, IMEI number or any other Luhn based number is correct. 
    For more info see: <https://en.wikipedia.org/wiki/Luhn_algorithm>.

Tests and assertions to perform frequent argument checks. A
    substantial part of the package was written in C to minimize any worries
    about execution time overhead.

The goal of checkpoint is to solve the problem of package
    reproducibility in R. Specifically, checkpoint allows you to install packages
    as they existed on CRAN on a specific snapshot date as if you had a CRAN time
    machine. To achieve reproducibility, the checkpoint() function installs the
    packages required or called by your project and scripts to a local library
    exactly as they existed at the specified point in time. Only those packages
    are available to your project, thereby avoiding any package updates that came
    later and may have altered your results. In this way, anyone using checkpoint's
    checkpoint() can ensure the reproducibility of your scripts or projects at any
    time. To create the snapshot archives, once a day (at midnight UTC) Microsoft
    refreshes the Austria CRAN mirror on the "Microsoft R Archived Network"
    server (<https://mran.microsoft.com/>). Immediately after completion
    of the rsync mirror process, the process takes a snapshot, thus creating the
    archive. Snapshot archives exist starting from 2014-09-17.

Provides a lightweight data validation and testing toolkit for R. 
    Its guiding philosophy is that adding code-based data checks to users' 
    existing workflow should be both quick and intuitive. The suite of 
    functions included therefore mirror the common data checks many users 
    already perform by hand or by eye. Additionally, the 'checkthat' package is 
    optimized to work within 'tidyverse' data manipulation pipelines.