R Works

@rworks.bsky.social

rworks.dev #rstats community blog, edited by @RevoJoe & @ivelasq3

CRAN continues to be the most accessible repository for statistical knowledge on the planet, and the number of new packages being accepted by CRAN is growing faster than ever. But, is the #RStats community benefiting from this new growth? @revojoe.bsky.social explores: rworks.dev/posts/too-ma...

New CRAN Packages: signal or noise? – R Works

CRAN continues to be the most accessible repository for statistical knowledge on the planet, and the number of new packages being accepted by CRAN is growing faster than ever. But, is the R community ...

rworks.dev

An incredible 376 #RStats packages made it on to CRAN in April. Do you want to know which had the most interesting applications, thorough documentation, innovative functions? No need to ask Claude, @revojoe.bsky.social already looked through them all meticulously for you: rworks.dev/posts/april-...

April 2026 Top 40 New CRAN Packages – R Works

An idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month entirely without the use of AI: clearly unsustai...

rworks.dev

Top 40 New CRAN #RStats Packages: an idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month entirely without the use of AI: clearly unsustainable, but maybe entertaining and somewhat useful.

March 2026 Top 40 New CRAN Packages – R Works

An idiosyncratic, unabashedly biased, time-constrained attempt to capture the depth and breadth of the new packages submitted to CRAN in a single month entirely without the use of AI: clearly unsustai...

rworks.dev

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...

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.

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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...

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...

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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...

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...

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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...

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 ...

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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...

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...

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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...

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 ...

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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-...

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...

rworks.dev

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/

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...

rworks.dev