R Weekly 2025-W08 CRAN, Lit Review, Laziness

This article is originally published at https://rweekly.org/

Hello and welcome to this new issue!

• 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.

Highlight

• Is CRAN Holding R Back?

• How to use large language models to assist in systematic literature reviews

• Lazy introduction to laziness in R

Insights

• Lazy introduction to laziness in R

• Is CRAN Holding R Back?

R in the Real World

• Forecasting Food Commodity Prices - Ethiopia

• R version of survivalist: Probabilistic model-agnostic survival analysis using scikit-learn, xgboost, lightgbm (and conformal prediction)

• How to use large language models to assist in systematic literature reviews

• Gold’s Rise Over Silver Amid Trump Tariffs

R in Organizations

• Open-Source Adoption in Pharma: Opportunities and Challenges

R in Academia

• Estimating a Bayesian proportional hazards model

Resources

• Large Language Model tools for R

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {TransProR} 1.0.2: Analysis and Visualization of Multi-Omics Data

• {odbr} 0.1.1: Download Data from Brazil’s Origin Destination Surveys

• {ClusterGVis} 0.1.2: One-Step to Cluster and Visualize Gene Expression Data

• {zonebuilder} 0.1.0: Create and Explore Geographic Zoning Systems

• {tomledit} 0.1.0: Parse, Read, and Edit ‘TOML’

• {rchroma} 0.1.0: A Client for ‘ChromaDB’

• {swash} 1.0.0: Swash-Backwash Model for the Single Epidemic Wave

• {BayesChange} 1.1.1: Bayesian Methods for Change Points Analysis

• {rockx} 0.0.2: Easily Import Data from Your ‘ODK-X Sync Endpoint’

• {manydist} 0.4.3: Unbiased Distances for Mixed-Type Data

• {BIOMASS} 2.1.12: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests

• {Surrogate} 3.3.3: Evaluation of Surrogate Endpoints in Clinical Trials

• {streamy} 0.1.0: Inline Asynchronous Generator Results into Documents

• {parseLatex} 0.2.1: Parse ‘LaTeX’ Code

• {schwabr} 0.1.2: ‘Schwab API’ Interface for R

• {metaquant} 0.1.1: Estimating Means, Standard Deviations and Visualising Distributions using Quantiles

• {PatientLevelPrediction} 6.4.0: Develop Clinical Prediction Models Using the Common Data Model

• {bushtucker} 0.1.0: ‘I’m a Celebrity Get Me Out of Here’ Data

• {siera} 0.1.0: Generate Analysis Results Programmes Using ARS Metadata

• {BayesERtools} 0.2.1: Bayesian Exposure-Response Analysis Tools

• {retmort} 1.0.0: Estimate User-Based Tagging Mortality and Tag Loss in Mark-Recapture Studies

Updated Packages

🔍 Search on R-universe 🔍

• {valentine} 2025.2.14: Spread the Love for R Packages with Poetry - diffify

• {details} 0.4.0: Create Details HTML Tag for Markdown and Package Documentation - diffify

• RcppUUID 1.2.0 on CRAN: Adding Clock-based UUIDs

• {R6} 2.6.1: Encapsulated Classes with Reference Semantics - diffify

• {parsnip} 1.3.0: A Common API to Modeling and Analysis Functions - diffify

• {censored} 0.3.3: ‘parsnip’ Engines for Survival Models - diffify

• {transltr} 0.1.0: Support Many Languages in R - diffify

• {BAwiR} 1.3.4: Analysis of Basketball Data - diffify

• {ade4} 1.7-23: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences - diffify

• {teal.logger} 0.3.2: Logging Setup for the ‘teal’ Family of Packages - diffify

• {teal.code} 0.6.1: Code Storage and Execution Class for ‘teal’ Applications - diffify

• {teal.transform} 0.6.0: Functions for Extracting and Merging Data in the ‘teal’ Framework - diffify

• {groqR} 0.0.3: A Coding Assistant using the Fast AI Inference ‘Groq’ - diffify

• {dawaR} 0.3.0: An API Wrapper for ‘DAWA’ - ‘The Danish Address Web API’ - diffify

• {collegeScorecard} 0.2.0: US College Scorecard Data - diffify

• {cli} 3.6.4: Helpers for Developing Command Line Interfaces - diffify

• {cheapr} 1.0.1: Simple Functions to Save Time and Memory - diffify

• {psborrow2} 0.0.4.0: Bayesian Dynamic Borrowing Analysis and Simulation - diffify

• {lintr} 3.2.0: A ‘Linter’ for R Code - diffify

• {clustermq} 0.9.7: Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque) - diffify

Videos and Podcasts

• Convincing IT that R packages are safe

• AI & Traditional Functions with R & {ellmer}

• Listen to the R-Weekly Highlights Podcast

Shiny Apps

• ShinyConf24 - Keynote: Decade of Shiny in Action: Case Studies from Three Enterprises

Tutorials

• Your Definitive Guide to Seamless Authentication with Auth0 in Shiny Apps

• Using options() to inject a function’s internal variable for reproducible testing

• How to Combine a List of Matrices in R: A Comprehensive Guide

• 3MW (Use AWS Textract With R & {paws})

• A plumber API to filter and aggregate datasets

R Project Updates

Updates from R Core:

Call for Participation

Upcoming Events in 3 Months

Events in 3 Months:

• Sign Up for Appsilon’s Tiny Shiny Hackathon: Build, Compete, and Win!

• Hitting web APIs with {httr2} in R workshop

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

• Weekly R Workshops for Ukraine

Connect

Join the Data Science Learning Community

Quotes of the Week

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