Showing 8 open source projects for "ui windows"

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  • 1
    Advanced Shiny

    Advanced Shiny

    Shiny tips & tricks for improving your apps and solving common problem

    The advanced-shiny repository is a curated collection of practical tips, design patterns, and mini Shiny apps focused on solving real-world challenges in R Shiny applications. The author (Dean Attali) collected many of the “harder” or less-documented tricks he uses or encounters frequently—things like controlling UI behavior dynamically, managing reactive logic, optimizing interactivity, and structuring large Shiny codebases. The repo’s structure includes folders of example apps each...
    Downloads: 1 This Week
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  • 2
    golem

    golem

    A Framework for Building Robust Shiny Apps

    golem is an opinionated framework for developing production-grade Shiny applications in R, treating the app like a full R package. It scaffolds project structure, testing, documentation, CI/CD, and supports containerization—streamlining the build-to-deploy pipeline while enforcing clean architecture and maintainability.
    Downloads: 0 This Week
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  • 3
    Shiny

    Shiny

    Build interactive web apps directly from R with Shiny framework

    Shiny is an R package from RStudio that enables users to build interactive web applications using R without requiring knowledge of JavaScript, HTML, or CSS. It allows statisticians and data scientists to turn their analyses into fully functional web dashboards with reactive elements, data inputs, visualizations, and controls, making data communication more effective and dynamic.
    Downloads: 3 This Week
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  • 4
    rticles

    rticles

    LaTeX Journal Article Templates for R Markdown

    An R package maintained by RStudio (now Posit) that supplies journal-specific R Markdown output formats and article templates to generate formatted LaTeX/PDF submissions across academic publishers.
    Downloads: 0 This Week
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  • 5
    pkgdown

    pkgdown

    Generate static html documentation for an R package

    pkgdown is an R package (by the r-lib group) whose purpose is to generate static websites (HTML) for R packages, automatically converting a package’s help files, vignettes, README, NEWS, etc., into a documentation website. It helps package authors share their documentation online with minimal friction. It supports custom templates, themes, and configuration. pkgdown 2.0.0 includes an upgrade from Bootstrap 3 to Bootstrap 5, which is accompanied by a whole bunch of minor UI improvements. If...
    Downloads: 0 This Week
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  • 6
    methylr

    methylr

    a single shiny solution from sequencer data to pathway analysis

    Here we introduce methylR, a complete pipeline for the analysis of both 450K and EPIC Illumina arrays which not only offers data visualization and normalization but also provide additional features such as the annotation of the genomic features resulting from the analysis, pairwise comparisons of DMCs with different graphical representation plus functional and pathway enrichment as downstream analysis, all packed in a minimal, elegant and intuitive graphical user interface which brings the...
    Downloads: 0 This Week
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  • 7
    Mastering Shiny

    Mastering Shiny

    Mastering Shiny: a book

    Mastering Shiny is a book (and its accompanying source repository) by Hadley Wickham that teaches people how to build interactive web applications using Shiny in R. It starts from basics (your first app, UI components, reactivity) and progresses to more advanced topics (dynamic UIs, modules, testing, security, performance). It is intended to help data scientists, analysts, or R users who may not have deep experience in web technologies become expert Shiny developers. The source code is open,...
    Downloads: 0 This Week
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  • 8
    RStan

    RStan

    RStan, the R interface to Stan

    RStan is the R interface to Stan, a C++ library for statistical modeling and high-performance statistical computation. It lets users specify models in the Stan modeling language (for Bayesian inference), compile them, and perform inference from R. Key inference approaches include full Bayesian inference via Hamiltonian Monte Carlo (specifically the No-U-Turn Sampler, NUTS), approximate Bayesian inference via variational methods, and optimization (penalized likelihood). RStan integrates with...
    Downloads: 0 This Week
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