R Works

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...

Digital Difficulties – R Works

It's Friday, which means it's time for an #RStats puzzle!

Can you arrange the digits 1 2 3 4 5 6 7 8 9 0 in such order that they form a number that may be divided by every number from 2 to 18 without a remainder?

Nina Zumel walks through it in "Digital Difficulties" 🔢

rworks.dev/posts/digita...

I am excited to present this Thursday, March 13, at the Bay Area useR meetup about analyzing time series data at scale with cluster analysis methods.

Mariana Menchero, the author of the nixtlar R library from Nixtla, will present about forecasting foundation models using TimeGPT 🚀!

#RStats

Bayesian Meta-Analysis with brms – R Works In our previous post, Examining Meta Analysis, we contrasted a frequentist version of a meta analysis conducted with R’s meta package with a Bayesian meta analysis done mostly in stan using therstan p...

Interested in Bayesian Meta-Analysis with the brms package?

Learn how to formulate complex Bayesian models without writing any stan code: rworks.dev/posts/bma-wi...

#RStats

Very well deserved!

Check out @liomys.mx's forgts package for converting formatted spreadsheets to presentation-ready display gt #RStats tables!

luisdva.github.io/forgts/

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

📦 forgts made it into the latest top 40 CRAN packages list 😀
rworks.dev/posts/januar...

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

The Top 40 New CRAN Packages from January 2025 are now out 👀 #RStats

rworks.dev/posts/januar...

ESMARConf 2025 has been announced - 11-13th June 2025!

esmarconf.org

A First Look at TimeGPT using nixtlar – R Works TimeGPT is a pre-trained, multi-layer, encoder/decoder transformer model with self-attention mechansims designed specifically for time series forecasting. This post, a revision of the of the post firs...

Great Time Series review by Joseph Rickert.

He shows TimeGPT using nixtlar. I would love to see more use cases with different data sets.

Who's next?

#TimeSeries #rstats #TimeGPT #nixtlar

rworks.dev/posts/revise...

A First Look at TimeGPT using nixtlar – R Works TimeGPT is a pre-trained, multi-layer, encoder/decoder transformer model with self-attention mechansims designed specifically for time series forecasting. This post is a first look at forecsting with ...

Experimenting with TimeGPT, the new transformer model trained on time series data from Nixtla, is straightforward with the nixtlar #rstats package. See rworks.dev/posts/TimeGPT/