R-bloggers

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 ...

Like it or not, everyone is using large languageden models to help do their statistics. There’s a lot of claims made about whether LLMs can or can’t do useful ecological statistics. In our new paper “Prompting large language models for quality e...

I recently shared a blog post on Claude Skills for R Users, featuring excellent Skills developed by several community members. It brought me a lot of joy to share these impactful resources from the community. One question that I got repeatedly (...

Option pricing using time series models as market price of risk and bootstrap resampling

It is a rare thing that a date can be a palindrome. But it happens. And the idea is the following, to cover all different date formats and for the given period And to do some useless extraction of the…Read more ›

Exploring pip/tazo PTA for Pseudomonas using popPK simulation. Key finds: 30-min infusions fall short of 90% PTA at MIC 16; prolonged infusion helps, but neutropenic fever population sees the biggest drop in PTA. ~46% of susceptible PsA isolates carry blaOXA-2 — tazobactam matters more than I thought Motivations We’ve learnt a bit ...

Required Packages # install.packages(c("ragnar", "ellmer", "dplyr", "ggplot2", "tibble")) library(ragnar) library(ellmer) library(dplyr) library(ggplot2) library(tibble) Introduction This earlier post, explored building a text analytics pipe...