R-bloggers

Explaining Time-Series Forecasts with Sensitivity Analysis (ahead::dynrmf and external regressors)

LLM-enhanced momentum investing combines traditional momentum signals with real-time news interpretation by large language models (LLMs). The idea is straightforward: stocks with strong past returns are candidates for momentum portfolios, but their inclusion and weight are refined by LLM-generated sentiment scores derived from firm-specific news. This hybrid approach improves risk-adjusted ...

Over the course of my career as a Data Scientist, I’ve worked on projects ranging from simple code reviews, to large application builds. For the most part, I have used R to do this. If you’re getting into coding or data science, one q...

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Two hundred and fifty-five of the new packages submitted to CRAN in February were still there in mid-March. Here are my Top 40 picks in seventeen categories: Artificial Intelligence, Biology, Buddhism, Climate Science, Computational Methods, Dat...

TLDR: To test whether I could tell the difference between decaf coffees I conducted a highly scientific test (subject to […] The post Using science to find the best decaf appeared first on Giles.

tidySummarizedExperiment logo Contributors: Michael Love, Justin Landis, Pierre-Paul Axisa The generality of tidySummarizedExperiment makes it easy to interface with several tidyverse packages (e.g. dplyr, tidyr, ggplot2, purrr, plotly...

This post is the last in a series of seven on population and people movement issues in the Pacific. The first six posts featured code re-generating the charts I used in a keynote speech before the November 2025 meeting of the Pacific Heads of Planning ...

As football fans, we constantly hear pundits making bold predictions. But how often do they actually hit the targets? Let’s check the track record of three popular Russian football pundits. Vadim Lukomskiy, Denis Alkhazov, and Vladimir Grabchak ...

Disclaimer: This blog contains opinions that are of the authors alone and do not necessarily reflect the strategy of their respective organizations. Why this matters for pharmaverse programmers Clinical reporting is built on repeatable patter...

This post was written in collaboration with Joshua Marie. What Are Bayesian Neural Networks? Standard neural networks learn fixed weights during training and produce a single point estimate for each input — with no sense of how confident the model...

Here’s the new data. Could you summarise it like Alice did last year, and send me a report? The civil service and public bodies in the UK publish lots of datasets. These datasets can be really helpful when experimenting with data visualis...

The revss Package for R Receives Major Update to Version 3.1.0 This is a big one! The revss package for R, which provides robust estimation for small samples, received a major, breaking update. The entire calculation engine was rewritten, new functionality added, and massive Monte Carlo analyses were run to calculate ...

In the previous post, I worked my way through some key elements of TMLE theory as I try to understand how it all works. At its essence, TMLE is focused on getting the efficient influence function (EIF) to behave properly. When that happens, the estimat...

17.03.2026 A new release of Bio7 is available.The application Bio7 is a free and open-source integrated development environment for ecological modeling, scientific image analysis and statistical analysis. Beside other programming tools it contains a feature complete development environment for R with an advanced R editor, R developer tools and interfaces ...