Jennifer Hoeting: Statistical Software

Background information

·        Some of the software listed below is available in the form of shar files.

Abundance estimation for unknown number of marked individuals

AUTOLOGIT

Autoregressive Models for Capture-Recapture Data

Bayesian inference for shape restricted generalized linear models

·        This R code performs Bayesian MCMC estimation for and Inference for Generalized Partial Linear Models Using Shape-Restricted Splines.

·        The code was written by Mary Meyer and Amber Hackstadt.

·        The paper that describes this methodology: Meyer, M. C., J. A. Hoeting, and A. Hackstadt (2009). “Bayesian Estimation and Inference for Generalized Partial Linear Models Using Shape-Restricted Splines.”

Bayesian Model Averaging (BMA)

R code to perform Bayesian model averaging (BMA) to account for model uncertainty in linear regression models, GLMs, and survival models. This code was written by Adrian Raftery, Jennifer Hoeting, Chris Volinsky, Ian Painter, Ka Yee Yeung.

·        BMA in S-Plus

S-Plus code to perform Bayesian model averaging (BMA) to account for model uncertainty in linear regression models. Written by Jennifer Hoeting [last updated: 18/Apr/98]. This code is now part of the bma package in R (see above).

·        BMA Homepage

Software and references on Bayesian Model Averaging

Model selection for geostatistical models

Random Effects Graphical Regression Models for Multidimensional Categorical Data

SIMSEL