R version of Probabilistic Machine Learning (for longitudinal data) Reserving (work in progress)
R version Examples of use of Probabilistic Machine Learning (for longitudinal data) Reserving
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introduction to Bayesian methods for the social sciences (18-22 Aug, Università della Svizzera italiana, Lugano)
Tidyverse with GitHub Copilot for Healthcare Analytics – Part 1
The role of healthcare analytics
The primary objective of healthcare analytics is to seek benefits for health administrators, organizations, and patients, most importantly by enhancing patient experiences and improving health outcomes. The heal...
Correlation vs Causation: Understanding the Difference
1 Introduction
“Correlation is not causation” – it’s a refrain we hear often, yet the distinction between these concepts is deceptively easy to overlook. Correlation refers to a statistical association: when one variable changes, another ...
Correlation vs Causation: Understanding the Difference
1 Introduction
“Correlation is not causation” – it’s a refrain we hear often, yet the distinction between these concepts is deceptively easy to overlook. Correlation refers to a statistical association: when one variable changes, another t...
Repost: The Modern R Stack for Production AI
Reposted from the original at: https://blog.stephenturner.us/p/r-production-ai...Python isn't the only game in town anymore: R can interact with local and cloud LLM APIs, inspect and modify your local R environment and files, implement RAG, ...
Containerizing Shiny Apps with {shiny2docker}: A Step-by-Step Guide
You can read the original post in its original format on Rtask website by ThinkR here: Containerizing Shiny Apps with {shiny2docker}: A Step-by-Step Guide
Deploying a Shiny application to different servers or sharing it with others can be challenging due to differences in R package versions and system requirements. ... [Read more...]
Understanding Basis Spline (B-spline) By Working Through Cox-deBoor Algorithm
I finally understood B-splines by working through the Cox-deBoor algorithm step-by-step, discovering they’re just weighted combinations of basis functions that make non-linear regression linear. What surprised me is going through Bayesian statis...
LGBTQ+ Pride Month
This is the start of Pride month. I have friends, acquaintances, and family members in most if not all LGBTQ+ categories, and probably you do too although you may not know it. I wish they all could live lives of be...
Benchmarks vs. Baselines: When ‘Above Average’ Isn’t Good Enough
Why relying on external benchmarks in media analytics can be misleading, and how building your own baselines leads to smarter, more context-aware decision making. [Read more...]
Beyond ARMA-GARCH: leveraging model-agnostic Machine Learning and conformal prediction for nonparametric probabilistic stock forecasting (ML-ARCH)
A flexible hybrid approach to probabilistic stock forecasting that combines machine learning with ARCH effects, offering an alternative to traditional ARMA-GARCH models
Permutations and SHAPley values for feature importance in techtonique dot net’s API (with R + Python + the command line)
How to use techtonique.net's API to compute feature importance using permutations and SHAPley values
Which patient is going to survive longer? Another guide to using techtonique dot net’s API (with R + Python + the command line) for survival analysis
How to make API calls to techtonique.net for survival analysis and plot the results with rush
A Guide to Using techtonique.net’s API and rush for simulating and plotting Stochastic Scenarios
How to make API calls to techtonique.net for stochastic simulation using diffusion models, and plot the results with rush
Filters
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Goal
Apply what you have learned about using pipelines for efficient pre-processing and model training on a regression problem.
House Prices in King county
In ... [Read more...]
Bioconductor is Moving from Slack to Zulip for Community Chat
Bioconductor’s community chat is moving from Slack to Zulip on Monday 2 June 2025. The transition ensures long-term access to discussions and better reflects our open-source values.
Why We’re Moving to Zulip
Our Slack Pro subscription ends on ...
Simulating Stochastic Scenarios with Diffusion Models: A Guide to Using techtonique.net’s API for the purpose
How to make API calls to techtonique.net for stochastic simulation using diffusion models
Feature Selection
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Goal
After this exercise, you should understand and be able to perform feature selection using wrapper functions with mlr3fselect. You should also be able ... [Read more...]
Spatial machine learning with the tidymodels framework
This is the third part of a blog post series on spatial machine learning with R.
You can find the list of other blog posts in this series in part one.
Introduction
In this blog post, we will show how to use the tidymodels framework for ...
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Goal
Learn how to rank features of a supervised task by their importance / strength of relationship with the target variable using a feature filter method.
... [Read more...]
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