Introduction to Bayesian Multiple Imputation with the rblimp package workshop

A paid workshop announcement covering Bayesian Multiple Imputation using the rblimp package in R, part of the Workshops for Ukraine series. The session will cover multiple imputation basics, Blimp's modeling framework, imputation model specification, auxiliary variables, convergence diagnostics, and pooled analyses. Suitable for both newcomers and those familiar with tools like mice who want to explore a Bayesian alternative. Registration requires a minimum 20 euro donation to Ukrainian aid organizations.

Nguồn: https://www.r-bloggers.com/2026/06/introduction-to-bayesian-multiple-imputation-with-the-rblimp-package-workshop. 8sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.

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stick function for the EDA in time series

A new stick function (Seasonal, Trend, Irregular Contribution Kit) has been added to the greybox package for both R and Python. Based on Hans Levenbach's STI classification, it uses ANOVA to quantify the strength of seasonal, trend, and irregular components in a time series. Applied to the classic AirPassengers dataset, it reveals that trend accounts for ~86% of variability. The function supports multiple seasonal components and may be extended to include external regressors in the future.

#data-science#r#exploratory-data-analysis