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Utrecht University
- Utrecht
- https://thomvolker.github.io
- @thomvolker.bsky.social
Highlights
- Pro
Stars
Cursus imputatie van missende data met {mice}. Materiaal ontwikkeld door de Missing Data groep, Methoden & Statistiek, Universiteit Utrecht. Herbruikbaar onder CC-BY-NC v4. Niet toegestaan het mateโฆ
Code to reproduce results in "Synthetic Data: Can We Trust Statistical Estimators?"
Conditional coverage metrics for set rules prediction.
mlpack: a fast, header-only C++ machine learning library
A minimalist and elegant presentation theme for Quarto Reveal.js
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Rcpp integration for the Armadillo templated linear algebra library
Transparent and privacy-friendly synthetic data generation
JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
Next PreFer challenge submit task template repo
Plugin for metasyn that prevents data from leaking.
An R package for Simulation Investigation for Empirical Network Analysis
A detailed course on solving realistic inference problems with mice.
Lesboek Oekraiens Nederlands voor Duco en Anne, gemaakt met behulp van GPT-4
One downloader for many scientific data and code repositories! DOI ๐ Data
Textbook on Quantitative Methods and Statistics (English version, EN), available at https://hugoquene.github.io/QMS-EN/
A repo that details strategies for simulating missingness