R Weekly 2025-W08 CRAN, Lit Review, Laziness
This week’s release was curated by Eric Nantz, with help from the R Weekly team members and contributors.
Highlight
Insights
R in the Real World
R in Organizations
R in Academia
Resources
New Packages
📦 Keep up to date wtih CRANberries 📦
CRAN
- {TransProR} 1.0.2: Analysis and Visualization of Multi-Omics Data
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{odbr} 0.1.1: Download Data from Brazil’s Origin Destination Surveys
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{ClusterGVis} 0.1.2: One-Step to Cluster and Visualize Gene Expression Data
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{zonebuilder} 0.1.0: Create and Explore Geographic Zoning Systems
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{tomledit} 0.1.0: Parse, Read, and Edit ‘TOML’
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{rchroma} 0.1.0: A Client for ‘ChromaDB’
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{swash} 1.0.0: Swash-Backwash Model for the Single Epidemic Wave
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{BayesChange} 1.1.1: Bayesian Methods for Change Points Analysis
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{rockx} 0.0.2: Easily Import Data from Your ‘ODK-X Sync Endpoint’
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{manydist} 0.4.3: Unbiased Distances for Mixed-Type Data
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{BIOMASS} 2.1.12: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests
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{Surrogate} 3.3.3: Evaluation of Surrogate Endpoints in Clinical Trials
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{streamy} 0.1.0: Inline Asynchronous Generator Results into Documents
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{parseLatex} 0.2.1: Parse ‘LaTeX’ Code
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{schwabr} 0.1.2: ‘Schwab API’ Interface for R
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{metaquant} 0.1.1: Estimating Means, Standard Deviations and Visualising Distributions using Quantiles
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{PatientLevelPrediction} 6.4.0: Develop Clinical Prediction Models Using the Common Data Model
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{bushtucker} 0.1.0: ‘I’m a Celebrity Get Me Out of Here’ Data
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{siera} 0.1.0: Generate Analysis Results Programmes Using ARS Metadata
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{BayesERtools} 0.2.1: Bayesian Exposure-Response Analysis Tools
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{retmort} 1.0.0: Estimate User-Based Tagging Mortality and Tag Loss in Mark-Recapture Studies
Updated Packages
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{valentine} 2025.2.14: Spread the Love for R Packages with Poetry - diffify
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{details} 0.4.0: Create Details HTML Tag for Markdown and Package Documentation - diffify
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{R6} 2.6.1: Encapsulated Classes with Reference Semantics - diffify
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{parsnip} 1.3.0: A Common API to Modeling and Analysis Functions - diffify
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{censored} 0.3.3: ‘parsnip’ Engines for Survival Models - diffify
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{transltr} 0.1.0: Support Many Languages in R - diffify
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{BAwiR} 1.3.4: Analysis of Basketball Data - diffify
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{ade4} 1.7-23: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences - diffify
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{teal.logger} 0.3.2: Logging Setup for the ‘teal’ Family of Packages - diffify
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{teal.code} 0.6.1: Code Storage and Execution Class for ‘teal’ Applications - diffify
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{teal.transform} 0.6.0: Functions for Extracting and Merging Data in the ‘teal’ Framework - diffify
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{groqR} 0.0.3: A Coding Assistant using the Fast AI Inference ‘Groq’ - diffify
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{dawaR} 0.3.0: An API Wrapper for ‘DAWA’ - ‘The Danish Address Web API’ - diffify
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{collegeScorecard} 0.2.0: US College Scorecard Data - diffify
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{cli} 3.6.4: Helpers for Developing Command Line Interfaces - diffify
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{cheapr} 1.0.1: Simple Functions to Save Time and Memory - diffify
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{psborrow2} 0.0.4.0: Bayesian Dynamic Borrowing Analysis and Simulation - diffify
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{lintr} 3.2.0: A ‘Linter’ for R Code - diffify
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{clustermq} 0.9.7: Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque) - diffify
Videos and Podcasts
Shiny Apps
Tutorials
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Your Definitive Guide to Seamless Authentication with Auth0 in Shiny Apps
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Using options() to inject a function’s internal variable for reproducible testing
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How to Combine a List of Matrices in R: A Comprehensive Guide
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