Andrew Gelman's public research software and miscellaneous projects

Public research software that I've helped with

• Stan: R and C++ functions for Bayesian inference using HMC/NUTS (by Bob Carpenter, Matt Hoffman, Daniel Lee, Jiqiang Guo, Ben Goodrich, Andrew Gelman, and others)

• blme: R functions for point estimates of hierarchical models using prior information to regularize estimates of the variance parameters. Includes blmer() and bglmer(), which modify Doug Bates's lmer() and glmer() to include priors (by Vincent Dorie and Andrew Gelman)

• mi: R functions for multiple imputation using iterative regression (by Ben Goodrich, Jonathan Kropko, Jennifer Hill, Andrew Gelman, and others)

• arm: R functions for data analysis using regression and multilevel models, including display() for displaying regression output, bayesglm() for stable generalized linear models, and many other things (by Yu-Sung Su, Daniel Lee, and Andrew Gelman)

• mcsim: C programs by Frederic Bois for simulation and Bayesian inference for nonlinear differential equation models (designed for applications in pharmacokinetics/pharmacodynamics)

Other statistics stuff

• Packets for statistical literacy assignments