Latest updates for Statistical Computing

Fresh curated links around Statistical Computing are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • CougarStats: a free and open-source Statistics web app for Teaching and Learning
  • Understanding R’s `describe()` Function: A Complete Guide to Summary Statistics
  • Understanding Statistical Coefficients: From Regression to Variation

Post angles to try

Share the most useful takeaway for your audience.
Turn one article into a quick practical checklist.
Ask your audience how this shift affects their work.
Turn angles into scheduled posts

Fresh articles and ideas

Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.

r-bloggers.com /1 month ago

CougarStats: a free and open-source Statistics web app for Teaching and Learning

Hello, I’d like to share CougarStats, a free and open-source R Shiny web app I developed to support the teaching and learning of Statistics. CougarStats runs entirely in...

Read source
r-bloggers.com /1 month ago

Understanding R’s `describe()` Function: A Complete Guide to Summary Statistics

Understanding R’s describe() Function: A Complete Guide to Summary Statistics Table of Contents Introduction to describe() Breaking Down the Output Columns Key Statistics an...

Read source
r-bloggers.com /1 month ago

Understanding Statistical Coefficients: From Regression to Variation

The Data Analyst’s Guide to  Statistical Coefficients Table of Contents What Are Coefficients? Regression Coefficient Coefficient of Determination (R²) Coefficient of...

Read source
r-bloggers.com /1 month ago

Schotter Plots in R

Translating things between languages reveals how each language approaches different design trade-offs, and I believe it’s a useful exercise. Having something to translate is the fi...

Read source
simplilearn.com /3 weeks ago

SAS Loops | Simplilearn

SAS, a command-driven statistical analysis and data visualization tool, is one of the most widely used statistical software tools across industries. A few of its applications inclu...

Read source
statmodeling.stat.columbia.edu /2 days ago

Statistical analysis recapitulates the development of statistical methods

We ran this a few years ago but it remains interesting so I’m reposting: There’s a old saying in biology that the development of the organism recapitulates the development of the s...

Read source
r-bloggers.com /5 days ago

Speeding up Stan model builds for R package developers

Introduction In my previous job my work computer was a Windows desktop – yes, those were the days before laptops and hotdesking! My PhD student was interested in Bayesian methods a...

Read source
statmodeling.stat.columbia.edu /1 day ago

15 new articles on statistical workflow!

Aki, Richard, Lizzie, and I put together a special issue on Statistical Workflow for the Philosophical Transactions of the Royal Society. I guess “royal” isn’t as impressive as it...

Read source
365community.online /2 days ago

Use R with SQL Server: Combining R and SQL

Summary Here’s a story: a team trained a model, and everything worked fine — until their dataset doubled. Suddenly, their R pipeline crawled to a halt. The culprit? Compute context...

Read source
medium.com /2 days ago

The Researcher’s Toolkit: Best Data Analysis Tools for Modern Science

From exploratory statistics to publication-ready visualisations — a practical, field-tested guide to the software every researcher should…Continue reading on Medium »

Read source
statmodeling.stat.columbia.edu /1 month ago

Survey Statistics: dCV for MRP ?

Three weeks ago we learned about design-based cross validation (dCV), shown in Figure 1(d) of Iparragirre et al. (2023): Each dot is a PSU (primary sampling unit), which can be an...

Read source
r-bloggers.com /1 month ago

{talib}: Technical Analysis using R

{talib} is a new R package built on TA-Lib, which is now available on CRAN. The R-package is targeted at individuals and, perhaps, institutions who, in some form or the other, inte...

Read source
medium.com /2 weeks ago

Can Study Hours Predict Exam Scores? A Data Story Using R

IntroductionContinue reading on Medium »

Read source
r-bloggers.com /1 month ago

March 2026 Top 40 New CRAN Packages

Three hundred seventy-one of the new packages submitted to CRAN in March were still there in mid-April. Here are my Top 40 picks in fifteen categories: Causal Inference, Computatio...

Read source
statmodeling.stat.columbia.edu /1 week ago

Survey Statistics: GREG

I just got to chat with Andrew and some of the authors of the MrPlew paper: Ryan Giordano, Erin Hartman, and Avi Feller. Lots more I have to digest here ! The paper came out while...

Read source
r-bloggers.com /1 month ago

Stage II OSCC — Health Economics Model

Most health care economics models are constructed from the perspective of a managed health care system such as those offered in Canada and several European countries, or from the p...

Read source
r-bloggers.com /1 month ago

Machine Learning Frameworks in R

R’s ecosystem offers a rich selection of machine learning frameworks, each with distinct design philosophies and strengths. This post is a side-by-side comparison of five ML framew...

Read source
r-bloggers.com /3 weeks ago

How to Build an Expected Goals (xG) Model in R with worldfootballR

Expected goals has become one of the most important concepts in modern football analytics. Instead of judging a team only by goals scored, xG helps us estimate the quality of the c...

Read source
r-bloggers.com /1 month ago

Programming with LLMs in R & Python

Working with LLMs in Practice Large Language Models are becoming part of everyday data science work. But using them through chat interfaces is only one part of the picture. In this...

Read source
r-bloggers.com /1 month ago

Analyzing Ecological Data with Detection Error

This course is for researchers who analyze field observations. These data are often inconsistent because sampling protocols can change across projects, over time, or when older dat...

Read source
r-bloggers.com /1 month ago

“Introduction to R, Regression, and the rms Package”: short course by Frank Harrell

On May 11th 2026, Professor Frank Harrell with lead a workshop, Introduction to R, Regression, and the rms Package, covering foundational R and RStudio skills, linear and multiple...

Read source
r-bloggers.com /1 month ago

TheseusPlot 0.2.0: Visualizing Decomposition of Differences in Rate Metrics

TheseusPlot is an R package that decomposes differences in rate metrics between two groups into contributions from individual subgroups and visualizes the results as a “Theseus Plo...

Read source
r-bloggers.com /1 month ago

New R Package {bdlnm} Released on CRAN: Bayesian Distributed Lag Non-Linear Models in R via INLA

CRAN, GitHub TL;DR: {bdlnm} brings Bayesian Distributed Lag Non-Linear Models (B-DLNMs) to R using INLA, allowing to model complex DLNMs, quantify uncertainty, and produce rich vis...

Read source
r-bloggers.com /1 month ago

Using R to Teach R: Lessons for Software Development

As we approach the decennial (10-year) anniversary since Jumping Rivers was founded in 2016, it’s a good time to reflect on what we have achieved in that time and share some lesson...

Read source

Turn fresh research into a full content calendar

Use SocialBu to discover ideas, generate post drafts, and schedule them across your social channels.

Sources covering Statistical Computing

365community.online

Recent coverage from public sources
Public source

medium.com

Recent coverage from public sources
Public source

medium.com

Recent coverage from public sources
Public source

statmodeling.stat.columbia.edu

Recent coverage from public sources
Public source

r-bloggers.com

Recent coverage from public sources
Public source

simplilearn.com

Recent coverage from public sources
Public source