Java GUI for R - cross-platform, universal and unified Graphical User Interface for R. For full functionality on Windows and Mac OS X JGR requires a start application which depends on your OS.

All datasets and functions used in the german book "Statistik mit R und RStudio" by grosse Schlarmann (2010-2024) <https://www.produnis.de/R/>.

An R package that implements the JICO algorithm [Wang, P., Wang, H., Li, Q., Shen, D., & Liu, Y. (2024). <Journal of Computational and Graphical Statistics, 33(3), 763-773>]. 
        It aims at solving the multi-group regression problem. The algorithm decomposes the responses from multiple groups into shared and group-specific
        components, which are driven by low-rank approximations of joint and individual structures from the covariates respectively.

Template engine powered by the 'inja' C++ library. Users
    write a template document, using syntax inspired by the 'Jinja' Python
    package, and then render the final document by passing data from R.
    The template syntax supports features such as variables, loops,
    conditions and inheritance.

Approximate joint-inclusion probabilities in Unequal Probability Sampling, or compute Monte Carlo approximations of the first and second-order inclusion probabilities of a general sampling design as in Fattorini (2006) <doi:10.1093/biomet/93.2.269>.

A modern, tidy interface to the Jira REST API for both Jira
    Cloud and Jira Server / Data Center. Authenticate once, query issues
    with the Jira Query Language (JQL), and retrieve projects, fields,
    dashboards and more as tibbles. Built on 'httr2' with automatic
    pagination, informative errors and support for API tokens and personal
    access tokens.

Set of common functions used for manipulating colors,
    detecting and interacting with 'RStudio', modeling, formatting, determining
    users' operating system, feature scaling, and more!

An implementation of fast cluster-based permutation analysis
    (CPA) for densely-sampled time data developed in Maris & Oostenveld,
    2007 <doi:10.1016/j.jneumeth.2007.03.024>. Supports (generalized,
    mixed-effects) regression models for the calculation of timewise
    statistics. Provides both a wholesale and a piecemeal interface to the
    CPA procedure with an emphasis on interpretability and diagnostics.
    Integrates 'Julia' libraries 'MixedModels.jl' and 'GLM.jl' for
    performance improvements, with additional functionalities for
    interfacing with 'Julia' from 'R' powered by the 'JuliaConnectoR'
    package.