R Weekly 2026-W41 Spreadsheets to gt, shinyreact, Aperiodic Tilings
This weekâs release was curated by Sam Parmar, with help from the R Weekly team members and contributors.
Highlight
Insights
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My first attempt at porting a Shiny app failed, and not for a technical reason
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Reproducible compute sessions: pinning the full stack from R version to system libraries
Tutorials
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From a football results API to a half-time/full-time heatmap in R
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Analytics Pipeline for Dashboards, with Python, R and Javascript
Resources
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No more select and copy! {to_cb}: a helper function to pipe outputs to the clipboard
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Updated {rcheology} web app: compare base R functions across historical R versions
New Packages
đŠ Keep up to date wtih CRANberries đŠ
CRAN
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{presto} 1.1.0: Fast Functions for Differential Expression Using Wilcoxon and AUC
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{mSigSpectra} 0.1.3: Build Mutational-Spectrum Catalogs from Variant Call Format Files
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{netOP} 0.1.2: Network Data Operations and Overlapping Partitions Based Methods for Large Networks
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{mdbx} 0.1.1: Bindings to the âlibmdbxâ Embedded Key-Value Store
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{pagerankr} 0.1.1: Modular Toolkit for PageRank Calculation
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{pkgcheck} 0.3.2: Package Checks for ârOpenSciâ
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{qio} 0.1.1: Read and Write âApache Parquetâ Files
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{ROI.plugin.coinclp} 0.1.0: âCOIN-ORâ âClpâ Plugin for the âRâ Optimization Infrastructure
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{VeraCrop} 0.1.0: Yield Gap Analysis Using Comparative Performance Analysis
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{wowi} 1.0.3: Detect Spatial Clusters of High Rates of Acute Malnutrition
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{mariposa} 0.7.3: âSPSSâ-Compatible Statistical Tools for Survey Data
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{harf} 0.1.0: Adversarial Random Forests for Omics Synthesis
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{GTFShift} 1.0.0: Explore and Analyse General Transit Feed Specification (GTFS) Files with a Focus on Urban Mobility
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{eyeprocess} 0.11.1: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data
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{DeltaTools} 0.1.4: DELTA Analytic Tools and Learning Curve Analysis
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{tera} 0.1.0: Generate Text and Documents with the Tera Templating Engine
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{bedrock} 0.1.16: Base Functions for the âDescToolsXâ Ecosystem
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{shinysnap} 0.1.0: Save and Restore the State of âshinyâ Applications
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{winn} 0.1.5: White Noise Normalization for Mass Spectrometry Profiling Data
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{SurveyNCD} 0.1.0: Survey-Weighted Analysis of Self-Reported Health Indicators
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{trialdiff} 0.2.0: Clinical Trial Data-Cut Change Detection and Impact Assessment
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{chat.api} 0.1.0: Transport-Agnostic Chat Contract
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{Mobius} 1.0: Mobius Transport for Directional Data
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{xmlrectr} 0.1.0: Rectangle Arbitrary âXMLâ into Analysis-Friendly Tables
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{qpmR} 1.1.0: Quarterly Projection Models for Monetary Policy Analysis
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{datapond} 0.1.0: Query Curated âDuckDBâ Databases Built from Public Data
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{insectecol} 1.0.1: Insect Ecology Data Analysis Toolkit
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{cidian} 0.1.0: Read and Parse Chinese Input-Method Dictionaries
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{autoslider.trade} 0.0.1: Slide Automation for Trading Tables, Listings and Figures
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{ivue} 0.1.0: Interactive 3D Visualization of Data and Graphs
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{CPHazard} 0.1.0: Hazard Change Point Models for Different Lifetime Distributions
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{summary2joint} 0.1.0: Joint Distribution Estimation from Marginal Study Summaries
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{lwbgt} 1.0.1: Reference-Compatible Outdoor Wet Bulb Globe Temperature
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{cardiovagal} 0.1.5: Automatic Equivalence Testing for Cross-Species Cardiovagal Homeostasis
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{escapeR} 0.1.0: Escape Room Adventures for Learning R in Ecological Statistics
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{contentvalidR} 0.4.0: Tools for Substantive and Content Validity Pretesting
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{stabplot} 0.0.1: Stability Plots for Lasso Stability Selection
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{ISPAT3D} 0.3.1: Spatial Conditional Association Networks in Registered Tumor Volumes
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{scFlex} 0.1.0: Flexible Conversion Between Single-Cell Data Objects
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{saebenchmarking} 0.1.0: Benchmarking Small Area Estimates and Their Mean Squared Errors
Bioconductor
GitHub or Bitbucket or GitLab
Updated Packages
đ Search on R-universe đ
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{ggfoundry} 0.4.0: Custom Fillable Shapes for ggplot2, with Independent Outline and Fill Colours - This release adds coffee, porridge and autumn symbols, plus faster rendering of repeated shapes
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Multiple tables, saved conversations, and take-home dashboards: querychat R 0.4.0 and Python 0.9.0
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{modeltools} 0.2-25: Tools and Classes for Statistical Models - diffify
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{coin} 1.4-6: Conditional Inference Procedures in a Permutation Test Framework - diffify
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{qap} 0.1-3: Heuristics for the Quadratic Assignment Problem (QAP) - diffify
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{maxLik} 1.6-10: Maximum Likelihood Estimation and Related Tools - diffify
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{ggfortify} 0.4.24: Data Visualization Tools for Statistical Analysis Results - diffify
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{float} 0.3-4: 32-Bit Floats - diffify
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{cleanrmd} 0.2.0: Clean Class-Less âR Markdownâ HTML Documents - diffify
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{rtables} 0.6.17: Reporting Tables - diffify
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{censReg} 0.5-40: Censored Regression (Tobit) Models - diffify
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{tram} 1.4-6: Transformation Models - diffify
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{dplR} 1.8.0: Dendrochronology Program Library in R - diffify
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{greybox} 2.0.9: Toolbox for Model Building and Forecasting - diffify
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{projpred} 2.11.0: Projection Predictive Feature Selection - diffify
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{DatabaseConnector} 8.0.0: Connecting to Various Database Platforms - diffify
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{deadwood} 0.9.2: Outlier Detection via Pruning Mutual Reachability Minimum Spanning Trees - diffify
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{StreamCatTools} 0.12.0: Tools for Working with âStreamCatâ and âLakeCatâ Data - diffify
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{AGHmatrix} 3.0.3: Relationship Matrices for Diploid and Autopolyploid Species - diffify
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{osrm} 6.0.0: Interface Between R and the OpenStreetMap-Based Routing Service OSRM - diffify
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{arulesCBA} 1.2.10: Classification Based on Association Rules - diffify
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{LMMsolver} 1.0.14.1: Linear Mixed Models with Sparse Matrix Methods and Smoothing - diffify
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{mvMORPH} 1.2.3: Multivariate Comparative Tools for Fitting Evolutionary Models to Morphometric Data - diffify
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{inti} 0.7.5: Tools and Statistical Procedures in Plant Science - diffify
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{shazam} 1.4.0: Immunoglobulin Somatic Hypermutation Analysis - diffify
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{spicy} 0.13.0: Publication-Ready Tables for Descriptive Statistics and Regression Models - diffify
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{FCPS} 1.4.3: Fundamental Clustering Problems Suite - diffify
Videos and Podcasts
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How well do LLMs build Shiny apps? How do we test that? | Karan Gathani | Data Science Lab
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Awesome mapping in R & a new R package search tool | Daniel Chen & Kylie Ainslie | Data Science Lab
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MCP Servers Explained: Hosting MCP Servers on Posit Connect | Workflow Demo Series
R Internationally
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CreaciĂłn de tablas atractivas y personalizables en R con
{gt} -
Projections cartographiques : le guide pour ne pas y laisser sa santé mentale
R Project Updates
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