R Works

A Few Claude Skills for R Users – R Works The community has come together to create some great Claude Skills that you can try out today.

I rounded up a few Claude Skills for #RStats users.

Huge thanks to the creators who developed them. They share Skills for everything from tidyverse code to brand.yml files to learning while using AI.

Hope the list is useful, and please let me know what I missed! 🧡

rworks.dev/posts/claude...

The kuzco package from @frankiethull.bsky.social made the January 2026 Top 40 CRAN #RStats packages by @revojoe.bsky.social! Congratulations, Frank, on such a great package ❤️🦙

rworks.dev/posts/januar...

December 2025 Top 40 New CRAN Packages – R Works An attempt to capture the depth and breadth of what’s new on CRAN.

196!! #RStats packages hit CRAN in December 2025. Interested in a curated selection? @revojoe.bsky.social has you covered with the Top 40 New CRAN Packages.

rworks.dev/posts/decemb...

Smoothed ROC Curves, Calculus and Curvature – R Works This post proposes smoothing ROC curves to make them into objects that can be studied with calculus. It shows how taking derivatives of the ROC curve enables conducting likelihood ratio tests and expl...

Take a fresh look at ROC curves with this mathematical take from @revojoe.bsky.social. By using ideas from differential geometry, like curvature and arc length, it offers new insights into a familiar tool.

rworks.dev/posts/roc-an...

#RStats

October 2025 Top 40 New CRAN Packages – R Works Here are my picks for the best of the two hundred and four new packages that landed on CRAN in October. Packages are organized into fifteen categories: Data, Decision Analysis, Ecology, Econometrics, ...

Every month, @revojoe.bsky.social reviews and summarized 40 #RStats packages that landed on CRAN, based on their topics, documentation, applicability, and more!

Check out the picks from October:
rworks.dev/posts/octobe...

ROC Curves in Two Lines of Code – R Works This post explains the basics of ROC curves using simple code and intuitive explanations.

You may have heard of ROC curves, but what exactly are they?

Learn the the basics of ROC curves using simple #RStats code and intuitive explanations.

"ROC Curves in Two Lines of Code": rworks.dev/posts/Horton...

An Introduction to Writing Your Own ggplot2 Geoms – R Works The ggextenders club provides inspiration and resources for those venturing into the exciting world of creating custom ggplot2 extensions.

I wrote a lil post on the amazing work that
@ginareynolds.bsky.social does championing ggplot2 extension developers and teaching others to build their own!

The post features the Scrollytelling Quarto extension and the group's cute #RStats hex 🐱:

rworks.dev/posts/ggplot...

September 2025 Top 40 New CRAN Packages – R Works Here are my picks of the best of the two hundred forty new packages that landed on CRAN in September, organized into thirteen categories: Computational Methods, Data, Decision Analysis, Ecology, Epide...

It's time for the Top 40 New #RStats Packages on CRAN for September 2025!

Learn about new packages for data, statistics, finance, and more. These great packages come complete with great documentation, images, references.

Read the post: rworks.dev/posts/septem...

Be Mindful of the Time – R Works In a previous post, A Simple Bayesian Multi-state Survival Model for a Clinical Trial, I described a textbook example comparing the effectiveness of asthma treatments by fitting a discrete-time Markov...

Be Mindful of the Time: Estimating a Continuous-Time Markov Chain from Incomplete Data

In his latest post, @revojoe.bsky.social shows how data can implicitly define time scales and why that matters when modeling real-world processes. #RStats

Read here: rworks.dev/posts/5-stat...

August 2025 Top 40 New CRAN Packages – R Works Here are my picks for the best from the ninety-seven new packages that landed on CRAN in August, organized in eighteen categories: Causal Inference, Data, Differential Privacy, Ecology, Environmental ...

August 2025's Top 40 picks are out, highlighting excellent #RStats packages from Differential Privacy to Toxicology to Causal Inference.

This marks 1 year of Top 40 posts since we started R Works! 🎉

Check out the post here: rworks.dev/posts/august...

A Note on the Dirichlet Distribution – R Works In this post, I explore some properties of the Dirichlet distribution and illustrate the behavior of the symmetric Dirichlet distribution as alpha, the concentration parameter, varies. Understanding t...

A Note on the Dirichlet Distribution by @revojoe.bsky.social

🔗 rworks.dev/posts/note-o...

#RStats

July 2025 Top 40 New CRAN Packages – R Works The CRAN new package Top 40 - Here are my picks for the best new packages to land on CRAN in July, organized in thirteen categories: Causal Inference, Computational Methods, Data, Ecology, Epidemiolog...

The July 2025 Top 40 New CRAN #RStats Packages blog post is now out!

Check out great picks from @revojoe.bsky.social in 13 categories, including Causal Inference, Ecology, Mathematics, Medical Statistics, Pharma, Statistics, and Visualization.

rworks.dev/posts/july-2...

ANES 2024 is Out! How to Analyze the Data with R – R Works Explore the newly released ANES 2024 survey data in R with {survey} and {srvyr}.

On the R Works blog, @ivelasq3.bsky.social shares a short blog post on getting started with the ANES 2024 data in #RStats!

rworks.dev/posts/anes20...

Fractal forest with height on the y-axis

This month's Top 40 New CRAN packages includes ... some really awesome visualizations!

Check out @revojoe.bsky.social's picks in 21 categories, including AI, chess, epidemiology, music theory, and more.

Blog post: rworks.dev/posts/june-2...

#RStats

Health Technology notes: Copilot tips and guidance – R Works In this post, we walk the reader through the fundamental driver of successfully using AI agents – prompting. Prompting is the method of instructing an LLM to perform a task by carefully designing an i...

In our latest post, Vidisha Vachharajani discusses the fundamental driver of successful AI agent use: prompting, or instructing an #LLM to perform a task with input text.

See how to go from vague directions to specific #RStats guidance in #RStudio using GitHub Copilot.

rworks.dev/posts/health...

Tidyverse with GitHub Copilot for Healthcare Analytics – Part 2 – R Works In this second installment, we analyze a complex dataset of diabetes patient encounters with 100,000+ rows and over 50 columns and dive deeper to evaluate the effectiveness of healthcare delivery and ...

Vidisha Vachharajani continues the "Tidyverse with GitHub Copilot for Healthcare Analytics" series!

Part 2 evaluates the effectiveness of healthcare delivery and impact of patient-level variables on downstream outcomes while exploring the #RStats + AI!

Read the post: rworks.dev/posts/health...

Well deserved! 👏

May 2025 Top 40 New CRAN Packages – R Works An attempt to capture the depth and breadth of what’s new on CRAN. - One Hundred seventy-six new packages made it to CRAN in May. Here are my Top 40 picks in eighteen categories: Climate Science, Comp...

May was a big month for #RStats! 186 new packages landed on CRAN.

We've got the top 40 highlighted on R Works, featuring an image from the GencoDymo2 package (human and mouse genomes!).

Check it out here: rworks.dev/posts/may-20...

A Simple Bayesian Multi-state Survival Model for a Clinical Trial – R Works This post shows how to use the elementary theory of discrete time Markov Chains to construct a multi-state model of patients progressing through various health states in a randomized clinical trial co...

Markov Chains can model patient outcomes. This post walks through calculating transition probabilities and using absorbing states to estimate long-term health outcomes in #RStats.

rworks.dev/posts/simple...

Tidyverse with GitHub Copilot for Healthcare Analytics – Part 1 – R Works In this post, the first in a series of two focused on healthcare applications, I will introduce a complex healthcare data set and outline the problems I propose to solve using tidyverse and GitHub Cop...

Using GitHub Copilot to analyze complex healthcare datasets comes with opportunities and challenges.

Vidisha Vachharajani walks through an example and shares reflections in our latest blog post: rworks.dev/posts/health...

#RStats

April 2025 Top 40 New CRAN Packages – R Works An attempt to capture the depth and breadth of what’s new on CRAN. Here are my Top 40 picks in twenty-two categories: Archaeology, Artificial Intelligence, Biology, Chemistry, Climate Science, Data, E...

We're delighted by the depth and breadth of #RStats packages released in CRAN!

@revojoe.bsky.social shares April's Top 40 picks, including Olajoke Oladipo's cheetahR for super-fast table gen and Russ Conte's ClassificationEnsembles for building classification models.

rworks.dev/posts/april-...

Cost-Effectiveness Analysis – R Works In a previous post, we presented an rjags version of a Bayesian model from the textbook: Evidence Synthesis for Decision Making in Healthcare by Welton et al. (2012). This post continues the work of p...

In a previous post, we presented an #RStats rjags version of a Bayesian model from Evidence Synthesis for Decision Making in Healthcare by Welton et al.

This second post explores cost-effectiveness frameworks in healthcare using deterministic and stochastic models.

rworks.dev/posts/ESDM-2/

Thanks for the shoutout, @bsky.chrisbrownlie.com!

A Data Scientist’s View of Running R in Visual Studio Code – R Works VS Code is a popular, customizable coding environment excellent for working with multiple languages. As a data scientist, its R <-> Python integration deserves careful consideration.

Thinking about using VS Code for integrating both #RStats and #Python in your code?

John Mark Agosta shares some considerations in our latest blog post: rworks.dev/posts/r-pyth...

Thank you for the shout out on the R Weekly podcast ❤️

@rpodcast.bsky.social and @mike-thomas.bsky.social are always a great listen, and appreciate you @batoolmm.bsky.social for highlighting the Top 40 Packages post!

Check out the other great highlights this week: rweekly.org

#RStats

March 2025 Top 40 New CRAN Packages – R Works An attempt to capture the depth and breadth of what’s new on CRAN: here are my Top 40 picks in sixteen categories: Agriculture, Archaeology, Biology, Climate Modeling, Computational Methods, Data, Eco...

In March, 182 new packages made it to CRAN.

Here are @revojoe.bsky.social's Top 40 picks in 16 categories, including agriculture, archaeology, biology, epidemiology, and more!

rworks.dev/posts/march-...

#RStats

Down a Rabbit Hole with ARIMA Models – R Works This post describes a chance encounter with a time series data set for which the forecast and fable packages found different ARIMA models that don’t look much alike, but produce surprisingly close for...

Fall down an ARIMA model rabbit hole with @revojoe.bsky.social and explore a time series where forecast::auto.arima() and fable::ARIMA() chose very different models but gave nearly identical forecasts.

A good case study in identifiability! #RStats

rworks.dev/posts/arima-...

February 2025 Top 40 New CRAN Packages – R Works An attempt to capture the depth and breadth of what’s new on CRAN: Here are my Top 40 picks in fifteen categories: Artificial Intelligence, Computational Methods, Ecology, Genomics, Health Sciences, M...

In February, one hundred fifty-nine new #RStats packages made it to CRAN.

Check out @revojoe.bsky.social's top picks, including two in a new category, "Weather"!

rworks.dev/posts/februa...

How Many Ways to Color This Grid: Teaching Combinatorics Using R – R Works A simplified version of the four color theorem: suppose you have a 2x2 grid of squares, and you need to paint each square one of four colors: red, blue, green, or yellow. The restriction is that no tw...

How many ways can you color a 2x2 grid of squares?

Vidisha Vachharajani walks through a simplified version of the four color theorem: You paint each square one of four colors, but no two adjacent squares have the same color.

Check out the solution, done with #RStats!

rworks.dev/posts/math-p...

Evidence Synthesis for Decision Making in Healthcare – R Works This post presents a JAGS version of a WinBUGS model presented in the classic textbook Evidence Synthesis for Decision Making in Healthcare by Nicky J. Welton, Alexander J. Sutton, Nicola J. Cooper, K...

Evidence Synthesis for Decision Making in Healthcare is an exemplary presentation of healthcare decision analysis and Bayesian modeling.

In this blog post, we present a JAGS version of a WinBugs model from the book using the jagsUI and rjags #RStats packages: rworks.dev/posts/eviden...