R Weekly 2026-W19 Shiny webAwesome, ggplot2 tricks, knitr

04 May 2026

How to have (my) content shared by R Weekly?

This week’s release was curated by Eric Nantz, with help from the R Weekly team members and contributors.

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Diagram illustrating the steps outlined in the blog post of mounting a tar.gz file in VFS

Exploring and Learning Quantum Computing Part 1

R in the Real World

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{shiny.webawesome} 1.0.0: A complete and ergonomic interface to the Web Awesome component library for R/Shiny users
grouper: An R package for Optimal Group Assignment
{shinyseo} 0.1.0: Search Engine Optimization and Social Metadata Helpers for ‘Shiny’ Apps
{deckroadmap} 0.1.4: Automated Roadmap Footers for Quarto and R Markdown Reveal.js Slides
{opencis} 0.1.0: Import Data from Spanish Sociological Research Center (CIS)
{EasyStat} 2.0.0: Automated Statistical Analysis, Visualization and Multi-Format Narrative Reporting Measures in Reliability
{mrtsSphere} 0.1.2: Multi-Resolution Thin-Plate Splines on the Sphere
{MCseqReplic} 1.0.0: Monte Carlo Simulations of Time Changes in Sequences
{llmcoder} 1.0.0: LLM-Powered Code Generation and Error Fixing for ‘RStudio’
{lapop} 2.1.5: Processing, Visualizing, and Labeling Americas Barometer Data
{jgd} 0.1.0: JSON Graphics Device
{hatsurvey} 1.1.1: Survey Indicator Estimation for Complex Survey Designs
{encharter} 0.9: Enhanced Office Open XML Charting for ‘openxlsx2’
{shorm} 0.1.3: Detect the Shape of Dose-Response Curves
{arcopt} 0.3.0: Adaptive Regularization using Cubics for Optimization
{rgbIndices} 0.1.1: RGB Visible Indices for Image Analysis
{fahb} 1.0.0: Design and Analysis of Pilot Trials Assessing Recruitment Feasibility
{ineptr2} 0.3.1: Wrapper for Statistics Portugal API
{Immutables} 1.0.1: Fast and Functional Data Structures
{CharAnalysis} 2.0.2: Peak Detection and Fire History from Sediment-Charcoal Records
{RMSTpowerBoost} 1.0.3: Power and Sample Size for Restricted Mean Survival Time Based Clinical Trials
{OmopStudyBuilder} 0.1.0: Build Reproducible Network Studies for OMOP Common Data Model
{okxr} 0.2.4: R Interface to the ‘OKX’ REST API
{matchpointR} 0.1.0: Tidy Access to Women’s Tennis Association (WTA) Data
{irpfR} 0.1.1: Access to the Great Numbers of Brazilian Individual Income Tax (IRPF)
{greenbook} 0.1.0: HM Treasury Green Book Cost-Benefit Analysis Primitives
{cppally} 0.1.0: A ‘C++20’ API for R
{bedrockbio} 1.3.0: Open-Access Computational Biology Datasets
{weatherStats} 0.1: Airport Weather Station Statistics
{vasicekfit} 0.1.0: Extended Vasicek Credit Loss Model with Macroeconomic Factors
{nestable} 0.1.0: Collapsible ‘HTML’ Tables from Hierarchical Data
{mortar} 0.4.0: Standardize Data Science Workflows
{cer} 0.1.0: Download and Tidy Australian Clean Energy Regulator Data
{autotestR} 1.2.15: Automated Functions for Basic Statistical Tests
{ato} 0.1.0: Download and Tidy Australian Taxation Office Data
{abba} 0.2.0: Batch Execution of R Programs on ‘Kubernetes’, ‘SLURM’, and ‘Posit Workbench’
{routing} 1.0.0: ‘Express.js’ Like Routing for R Web Frameworks
{keylist} 1.0.0: Lightweight List Extensions that Enforce Unique Keys
{FrailtyCompRisk} 0.1.1: Competing Risks Models for Multi-Center Survival Data with Frailty
{documentosbr} 0.1.8: Validate Brazilian Administrative Registers - Valida Documentos

Bioconductor

GitHub or Bitbucket

GitHub

Updated Packages

🔍 Search on R-universe 🔍

binb 0.0.8 on CRAN: Maintenance
RProtoBuf 0.4.27 on CRAN: Upstream Adjustment
{torchvision} 0.9.0: Image loading, transformations, common architectures, pre-trained weights and commonly used datasets for computer vision with ‘torch’ - diffify
{crs} 0.15-42: Categorical Regression Splines - diffify
{spCF} 0.1.1: Coarse-to-Fine Spatial Modeling - diffify
{roxygen2} 8.0.0: In-Line Documentation for R - diffify
{pequod} 0.2.0: Colour Palette for Reading and Code, Inspired by Moby-Dick - diffify
{GxEScanR} 3.0.0: Run GWAS/GWEIS Scans Using Binary Dosage Files - diffify
{terminalgraphics} 0.3.0: Graphical Output in Terminals - diffify
{lfproQC} 1.4.2: Quality Control for Label-Free Proteomics Expression Data - diffify
{binb} 0.0.8: ‘binb’ is not ‘Beamer’ - diffify
{autograph} 1.0.3: Automatic Plotting and Theming of Many Graphs - diffify
{midr} 0.6.1: Learning from Black-Box Models by Maximum Interpretation Decomposition - diffify
{inlabru} 2.14.1: Bayesian Latent Gaussian Modelling using INLA and Extensions - diffify
{bplsr} 1.0.5: Bayesian partial least squares regression - diffify
{TestGenerator} 0.7.0: Integration Unit Tests for Pharmacoepidemiological Studies - diffify
{test.assessr} 2.1.0: Assessing Package Test Reliability and Quality - diffify
{qtl2convert} 0.32: Convert Data among QTL Mapping Packages - diffify
{pam} 2.2.1: Fast and Efficient Processing of PAM Data - diffify
{xxdi} 1.26.4: An R Package for Evaluating Expertise Indices for Research Strength Assessment - diffify
{tidyllm} 0.5.0: Tidy Integration of Large Language Models - diffify
{rfm} 0.4.0: Recency, Frequency and Monetary Value Analysis - diffify
{pqrBayes} 1.2.2: Bayesian Penalized Quantile Regression - diffify
{devtools} 2.5.2: Tools to Make Developing R Packages Easier - diffify
{brainGraph} 3.1.2: Graph Theory Analysis of Brain MRI Data - diffify
{fabletools} 0.7.0: Core Tools for Packages in the ‘fable’ Framework - diffify
{EFAtools} 0.7.0: Fast and Flexible Implementations of Exploratory Factor Analysis Tools - diffify
{saros} 1.6.2: Semi-Automatic Reporting of Ordinary Surveys - diffify
{ocs4R} 0.3.1: Interface to Open Collaboration Services (OCS) REST API - diffify
{connectapi} 0.12.1: Utilities for Interacting with the ‘Posit Connect’ Server API - diffify
{BinaryDosage} 2.0.0: Creates, Merges, and Reads Binary Dosage Files - diffify
{rdocdump} 0.2.0: Dump ‘R’ Package Source, Documentation, and Vignettes into One File - diffify
{enrichwith} 0.5.0: Methods to Enrich R Objects with Extra Components - diffify
{blockr.dag} 0.1.2: A Directed Acyclic Graph Extension for ‘blockr’ - diffify
{brglm2} 1.1.0: Bias Reduction in Generalized Linear Models - diffify
{blockr.dock} 0.1.1: A Docking Layout Manager for ‘blockr’ - diffify
{glmmrBase} 1.4.0: Generalised Linear Mixed Models in R - diffify
{dtlg} 0.1.0: A Performance-Focused Package for Clinical Trial Tables - diffify
{infoelectoral} 1.0.3: Download Spanish Election Results - diffify
{discSurv} 2.5.1: Discrete Time Survival Analysis - diffify
{ggrefine} 0.3.0: Publication-Quality ‘ggplot2’ Themes - diffify
{survdnn} 0.7.6: Deep Neural Networks for Survival Analysis with R ‘torch’ - diffify
{FastGP} 1.3: Efficiently Using Gaussian Processes with Rcpp and RcppEigen - diffify
{ccar3} 0.1.1: Canonical Correlation Analysis via Reduced Rank Regression - diffify
{SCdeconR} 1.0.2: Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq Data as Reference - diffify
{baseverse} 0.1.4: Modern Base-R Functions - diffify
{stochtree} 0.4.2: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference - diffify
{vivainsights} 0.7.2: Analyze and Visualize Data from ‘Microsoft Viva Insights’ - diffify
{TriMatch} 1.0.2: Propensity Score Matching of Non-Binary Treatments - diffify
{wav} 0.2.0: Read and Write WAV Files - diffify
{blockr.core} 0.1.2: Graphical Web-Framework for Data Manipulation and Visualization - diffify
{LightLogR} 0.10.3: Process Data from Wearable Light Loggers and Optical Radiation Dosimeters - diffify
{descr} 1.1.9: Descriptive Statistics - diffify
{metatools} 0.3.0: Enable the Use of ‘metacore’ to Help Create and Check Dataset - diffify
{luz} 0.5.2: Higher Level ‘API’ for ‘torch’ - diffify
{Rtinycc} 0.1.10: Builds the ‘TinyCC’ Command-Line Interface and Library for ‘C’ Scripting in ‘R’ - diffify
{toolero} 0.3.0: A Toolkit for Research Workflows - diffify
{getopt} 1.21.1: C-Like ‘getopt’ Behavior - diffify
{vecvec} 1.0.0: Construct Mixed Type Data Structures with Vectors of Vectors - diffify
{g6R} 0.6.0: Graph Visualisation Engine Widget for R and ‘shiny’ Apps - diffify
{DiagrammeR} 1.0.12: Graph/Network Visualization - diffify
{datefixR} 2.0.1: Standardize Dates in Different Formats or with Missing Data - diffify
{jmvReadWrite} 0.4.13: Read and Write ‘jamovi’ Files (‘.omv’) - diffify

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