24 tagged tidymodels, measured the same way as everything else here.
Browse within: bayesian-statistics 23clinical-trials 23
Agent
Expert in R programming for statistical computing, data science, and machine learning. Specializes in tidyverse ecosystem (dplyr, ggplot2, tidyr), data.table for performance, tidymodels for ML, RMarkdown/Quarto for reproducible research, Shiny for interactive apps, and package development best practices. Use…
Agent
Expert in current PyMC for Bayesian modeling in Python. Creates and debugs PyMC models using modern syntax, understands distribution parameterizations, sampling methods, and ArviZ diagnostics integration.
Agent
Expert in modern Stan programming for Bayesian inference. Creates and debugs Stan models using cmdstanr, understands all 7 program blocks, HMC/NUTS optimization, and current Stan syntax.
Agent
Executes Stan, JAGS, WinBUGS, and PyMC models with test data to validate syntax and sampling. Generates synthetic data, runs short MCMC chains, and reports convergence diagnostics.