R Weekly 2025-W00
This week’s release was curated by Ryo Nakagawara, with help from the R Weekly team members and contributors.
Highlight
Insights
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Measuring LLM Effectiveness - Max Kuhn & Simon Couch (slides)
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Using OpenAI Codex in Positron with a demo on developing an R package using the OpenAI Codex agent
- 💸 R-Consortium ISC Grant Applications Open!📦 — funding to build packages and technical infrastructure for the R community
R in the Real World
R in Organizations
R in Academia
Resources
New Packages
📦 Keep up to date wtih CRANberries 📦
CRAN
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{WSCdata} 0.1.0: A New Four-Arm Within-Study Comparison Data on Math and Vocabulary Training
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{shinypayload} 0.1.0: Accept POST Data and URL Parameters in ‘shiny’ (Same-Port Integration)
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{ptvalue} 0.1.0: Working with Precision Teaching Values
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{tastyR} 0.1.0: Recipe Data from ‘Allrecipes.com’
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{Stype.est} 0.1.0: S-Type Estimators
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{h3o} 0.3.0: H3 Geospatial Indexing System
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{gadjid} 0.1.0: Graph Adjustment Identification Distances for Causal Graphs
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{stratcols} 1.0.0: Stratigraphic Columns and Order Metrics
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{searchAnalyzeR} 0.1.0: Advanced Analytics and Testing Framework for Systematic Review Search Strategies
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{datacommons} 0.1.0: Client for the ‘Google Data Commons API V2’
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{scPOEM} 0.1.2: Single-Cell Meta-Path Based Omic Embedding
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{rcdf} 0.1.0: A Comprehensive Toolkit for Working with Encrypted Parquet Files
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{pECV} 1.0.1: Entrywise Splitting Cross-Validation for Factor Models
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{ham} 1.0.0: Healthcare Analysis Methods
- {gridify} 0.7.4: Enrich Figures and Tables with Custom Headers and Footers and More
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{GenOU} 0.2.1: Sequential Change-Point Tests for Generalized Ornstein-Uhlenbeck Processes
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{calms} 1.0-1: Comprehensive Analysis of Latent Means
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{auxvecLASSO} 0.2.0: LASSO Auxiliary Variable Selection and Auxiliary Vector Diagnostics
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{TheseusPlot} 0.1.1: Visualizing Decomposition of Differences in Rate Metrics
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{terminalgraphics} 0.1.1: Graphical Output in Terminals
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{SMMAL} 0.0.5: Semi-Supervised Estimation of Average Treatment Effects
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{pubchem.bio} 1.0.0: Biologically Informed Metabolomic Databases from ‘PubChem’
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{kfre} 0.0.2: Kidney Failure Risk Equation (KFRE) Tools
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{caradpt} 0.1.0: Covariate-Adjusted Response-Adaptive Designs for Clinical Trials
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{BSTFA} 0.1.0: Bayesian Spatio-Temporal Factor Analysis Model
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{tidypopgen} 0.3.2: Tidy Population Genetics
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{multideploy} 0.1.0: Deploy File Changes Across Multiple ‘GitHub’ Repositories
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{spatialreg.hp} 0.0-1: Hierarchical Partitioning of R2 for Spatial Simultaneous Autoregressive Model
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{SampleSizeCalculator} 0.1.0: Sample Size Calculator under Complex Survey Design
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{rappleads} 0.1.3: Get Data from ‘Apple Ads Campaign Management API’
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{NMAforest} 0.1.0: Forest Plots for Network Meta-Analysis with Proportion for Paths and Studies
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{allocation} 0.1.0: Exact Optimal Allocation Algorithms for Stratified Sampling
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{AdapDiscom} 1.0.0: Adaptive Sparse Regression for Block Missing Multimodal Data
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{LCCkNN} 0.1.0: Adaptive k-Nearest Neighbor Classifier Based on Local Curvature Estimation
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{sidra} 0.1.7: Acesso aos Dados do ‘SIDRA’ do IBGE
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{RCaucTile} 1.0.0: Tile Grid Maps for East Caucasian Languages
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{HARr} 1.1.0: ‘HAR’ (‘GEMPACK’) File Read/Write Utility
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{firesale} 0.1.0: Datastore for ‘fiery’ Web Servers
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{flankr} 1.2.0: Implementing Computational Models of Attentional Selectivity
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{CLIC} 0.1: The LIC for Distributed Cosine Regression Analysis
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{WarnEpi} 1.0.1: A Comprehensive Tool for Early Warning in Infectious Disease
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{utest} 0.4.0: Lind/Mehlum Utest
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{unfold} 1.0.0: Mapping Hidden Geometry into Future Sequences
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{mlspatial} 0.1.0: Machine Learning and Mapping for Spatial Epidemiology
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{JapanAPIs} 0.1.0: Access Japanese Data via Public APIs and Curated Datasets
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{E2E} 0.0.3: Ensemble Learning Framework for Diagnostic and Prognostic Modeling
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{ChinAPIs} 0.1.0: Access Chinese Data via Public APIs and Curated Datasets Data
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{matrixCorr} 0.3.1: Collection of Correlation and Association Estimators
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{IndiAPIs} 0.1.0: Access Indian Data via Public APIs and Curated Datasets
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{CATAcode} 1.0.0: Explore and Code Responses to Check-All-that-Apply Survey Items
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{EQUALencrypt} 0.1.0: Encryption and Decryption of Files and Data for Researchers Without Coding Skills
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{edfinr} 0.1.1: Access Tidy Education Finance Data
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{azuremapsr} 0.0.2: Interface to the ‘Azure Maps’ API
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{covercorr} 1.0.0: Coverage Correlation Coefficient and Testing for Independence
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{ffaframework} 0.1.1: Flood Frequency Analysis Framework
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{tma} 0.3.0: Transmodal Analysis (TMA)
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{tailor} 0.1.0: Iterative Steps for Postprocessing Model Predictions
- {degradr} 1.0.0: Estimating Remaining Useful Life with Linear Mixed Effects Models
GitHub or Bitbucket
Updated Packages
- {pharmaverseraw} 0.1.1: Raw Data for ‘pharmaversesdtm’ Package - diffify
- {orbital} 0.3.1: Predict with ‘tidymodels’ Workflows in Databases - diffify
- {crane} 0.2.0: Supplements the ‘gtsummary’ Package for Pharmaceutical Reporting - diffify
- {geoR} 1.9-6: Analysis of Geostatistical Data - diffify
- {ggredist} 0.0.3: Scales, Geometries, and Extensions of ‘ggplot2’ for Election Mapping - diffify
- {worldbank} 0.6.1: Client for World Banks’s ‘Indicators’ and ‘Poverty and Inequality Platform (PIP)’ APIs - diffify
- {rvest} 1.0.5: Easily Harvest (Scrape) Web Pages - diffify
- {usmap} 1.0.0: US Maps Including Alaska and Hawaii - diffify
- {rsconnect} 1.5.1: Deploy Docs, Apps, and APIs to ‘Posit Connect’, ‘shinyapps.io’, and ‘RPubs’ - diffify
- {openair} 2.19.0: Tools for the Analysis of Air Pollution Data - diffify
- {mapview} 2.11.3: Interactive Viewing of Spatial Data in R - diffify
- {survey} 4.4-8: Analysis of Complex Survey Samples - diffify
- {gtsummary} 2.4.0: Presentation-Ready Data Summary and Analytic Result Tables - diffify
- {usethis} 3.2.0: Automate Package and Project Setup - diffify
- {capybara} 1.8.0: Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects - diffify
- {tidycomm} 0.4.2: Data Modification and Analysis for Communication Research - diffify
- {setwidth} 1.1.0: Automatically Set the Width Option on Terminal Emulators - diffify
- {fingerPro} 2.0: A Comprehensive Package for Sediment Source Unmixing - diffify
- {DendroSync} 0.1.5: A Set of Tools for Calculating Spatial Synchrony Between Tree-Ring Chronologies - diffify
- {azuremapsr} 0.0.2: Interface to the ‘Azure Maps’ API - diffify
- {StratPal} 0.6.0: Stratigraphic Paleobiology Modeling Pipelines - diffify
- {tok} 0.2.0: Fast Text Tokenization - diffify
- {rtop} 0.6-17: Interpolation of Data with Variable Spatial Support - diffify
- {reflectR} 2.1.4: Automatic Scoring of the Cognitive Reflection Test - diffify
- {ggPMX} 1.3.1: ‘ggplot2’ Based Tool to Facilitate Diagnostic Plots for NLME Models - diffify
- {workflows} 1.3.0: Modeling Workflows - diffify
- {cards} 0.7.0: Analysis Results Data - diffify
- {divent} 0.5-3: Entropy Partitioning to Measure Diversity - diffify
- {ggridges} 0.5.7: Ridgeline Plots in ‘ggplot2’ - diffify
- {ggpattern} 1.2.1: ‘ggplot2’ Pattern Geoms - diffify
- {feasts} 0.4.2: Feature Extraction and Statistics for Time Series - diffify
- {screenshot} 0.9.2: Take Screenshots (Screen Capture) from R Command - diffify
- {scitb} 0.2.2: Provides Some Useful Functions for Making Statistical Tables - diffify
Videos and Podcasts
Gist & Cookbook
Shiny Apps
R Internationally
Tutorials
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Creating messy datasets for teaching purposes with {truffle}
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How to Finally Fix Your Tables in Typst PDFs (using {gt} tables)
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From Macarena to Bad Bunny: Latin Music’s Billboard Evolution
R Project Updates
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